244 Aesthetics courses in Lymm delivered On Demand

Overview Dive into the vibrant world of web design with our comprehensive course: 'Web Design (HTML, CSS, Bootstrap) Complete Course.' Embarking on this learning journey, you'll start from the foundational bricks of web creation: HTML. Grasp the art of tagging, creating headers, adding links and images, and various other core components that shape a webpage. Progressing further, delve deep into CSS, the style mastermind behind every website's appealing look. Enhance your design with intricate details like classes, borders, text styles, and the magic of positioning. The voyage doesn't end here! With Bootstrap, the popular framework that makes web designing a breeze, you'll swiftly create responsive designs, including landing pages and business sites. And, once you've crafted your masterpiece, the final module ensures you're well-equipped to host and showcase your project to the world. Learning Outcomes Web Design (HTML, CSS, Bootstrap) Complete Course Comprehend the foundational principles of HTML and its applications in web design. Implement CSS intricacies to stylise and enhance webpage aesthetics. Master the Bootstrap framework for efficient and responsive web design. Construct diverse web pages, including landing pages, business sites, and portfolios. Acquire the know-how to host and maintain websites seamlessly. Why buy this Web Design (HTML, CSS, Bootstrap) Complete Course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Web Design (HTML, CSS, Bootstrap) Complete Course you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Web Design (HTML, CSS, Bootstrap) Complete Course for? Aspiring web designers seeking foundational and advanced knowledge. Business owners aiming to establish a robust online presence. Freelancers wishing to expand their service offerings. Graphic designers keen on integrating web design into their skill set. Students and hobbyists exploring a new digital art medium. Prerequisites This Web Design (HTML, CSS, Bootstrap) Complete Course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Web Designer: £25,000 - £50,000 annually Front-End Developer: £30,000 - £55,000 annually UI/UX Designer: £35,000 - £60,000 annually Web Developer: £28,000 - £52,000 annually Bootstrap Specialist: £32,000 - £56,000 annually Website Administrator: £24,000 - £47,000 annually Course Curriculum Web Design (HTML, CSS, Bootstrap) Complete Course Module: 01 1.1 Intro 00:03:00 1.2 Install the Tools and Get Started 00:05:00 Module: 02 2.1 Intro to HTML 00:01:00 2.2 What is HTML 00:11:00 2.3 Start a New HTML File & Use Tags 00:12:00 2.4 Header Tags 00:05:00 2.5 Edit Text 00:09:00 2.6 Links 00:09:00 2.7 Images 00:10:00 2.8 Lists 00:04:00 2.9 Challenge 00:16:00 2.10 HTML Outro 00:01:00 Module: 03 3.1 CSS Intro 00:04:00 3.2 Add CSS Styles 00:16:00 3.3 Classes and IDs 00:07:00 3.4 Borders 00:06:00 3.5 Sizing 00:04:00 3.6 Padding and Margin 00:07:00 3.7 Text Styles 00:04:00 3.8 DIVs 00:08:00 3.9 Postioning 00:08:00 3.10 Hover 00:03:00 3.11 Easily Center Elements 00:02:00 3.12 Fonts 00:06:00 3.13 Challenge 00:23:00 3.14 CSS Outro 00:01:00 Module: 04 4.1 Intro to Bootstrap 00:02:00 4.2 Install Bootstrap 00:10:00 4.3 Indenting and Containers 00:07:00 4.4 The Grid System 00:16:00 4.5 Images 00:07:00 4.6 Buttons 00:06:00 4.7 Challenge 00:11:00 4.8 Bootstrap Outro 00:01:00 Module: 05 5.1 Landing Page Intro 00:01:00 5.2 Sketch Your Landing Page 00:05:00 5.3 The Top Section 00:16:00 5.4 Polish the Top Section 00:06:00 5.5 Adding Images 00:11:00 5.6 The Main Points Section 00:14:00 5.7 Collecting Emails With an Opt-In Form 00:11:00 5.8 Challenge 00:03:00 5.9 Landing Page Outro 00:02:00 Module: 06 6.1 Business Site Intro 00:01:00 6.2 Sketch Up 00:03:00 6.3 Using Fancy Font Logo 00:07:00 6.4 Carousel Basics 00:10:00 6.5 Carousel Extras 00:09:00 6.6 Text on Images 00:15:00 6.7 Phone Number Icon 00:04:00 6.8 Google Maps 00:13:00 6.9 Font Awesome 00:09:00 6.10 Challenge 00:08:00 6.11 Business Site Outro 00:01:00 Module: 07 7.1 Intro 00:01:00 7.2 Portfolio Sketch 00:08:00 7.3 Jumbotron 00:10:00 7.4 Nav Bar 00:24:00 7.5 Panels 00:11:00 7.6 Challenge 00:13:00 7.7 Portfolio Outre 00:01:00 Module: 08 8.1 Hosting 00:01:00 8.2 Bluehost 00:06:00 8.3 Uploading 00:05:00 8.4 Tips 00:11:00 8.5 Hosting Outro 00:01:00

Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified Renewable Energy Complete Course bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our 30 course mega bundle that will exceed your expectations within your budget. The Renewable Energy Complete Course related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then StudyHub proposes a preparatory bundle. This comprehensive Renewable Energy Complete Course bundle will help you build a solid foundation to become a proficient worker in the sector. This Renewable Energy Complete Course Bundle consists of the following 25 CPD Accredited Premium courses - Course 1: Solar Energy Course 2: Sustainable Energy, Development and Environmental Impacts Course 3: Oil and Gas Industry Course 4: Petroleum Refining Demystified Course 5: Online Course in Conservation Course 6: Environment Management Course 7: Environmental Health Course 8: Environmental Law 2021 Course 9: Meteorology Course 10: Land Management Course 11: Diploma in Water Treatment Course 12: Forestry Course 13: Agricultural Science Course 14: Botany Course 15: Wildlife Rescue and Rehabilitation Course 16: Architectural Studies Course 17: Cleaning: Disinfection, Waste Management and Chemical Safety Course 18: COSHH (Control of Substances Hazardous to Health) - Awareness Course 19: Spill Management Training Course 20: Horticulture & Organic Gardening Course 21: Homesteading Diploma Course 22: Floristry Academy Diploma Course 23: Arboriculture Course 24: Marine Biology Course - Online Diploma Course 25: Garden Design Course 26: Escaping Consumerism Course 27: Administration of Emergency Medical Gases Course 28: Accredited level 3 Oceanography Diploma Course 29: Hydrogen Sulphide Training: Safety and Awareness in Hazardous Environments Course 30: Public Realm Manager's Guide: Urban Planning and Management Course 31: Solar & Thermal Energy: Harnessing Renewable Power Sources Course 32: Sustainable Management of Renewable Energy Resources 5 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 1: Career Development Plan Fundamentals Course 2: CV Writing and Job Searching Course 3: Interview Skills: Ace the Interview Course 4: Video Job Interview for Job Seekers Course 5: Create a Professional LinkedIn Profile Learning Outcome This tailor-made Renewable Energy Complete Course bundle will allow you to- Uncover your skills and aptitudes to break new ground in the related fields Deep dive into the fundamental knowledge Acquire some hard and soft skills in this area Gain some transferable skills to elevate your performance Maintain good report with your clients and staff Gain necessary office skills and be tech savvy utilising relevant software Keep records of your work and make a report Know the regulations around this area Reinforce your career with specific knowledge of this field Know your legal and ethical responsibility as a professional in the related field Course 1: Solar Energy Understand the principles of solar energy generation and its applications in various sectors. Learn to design and implement solar energy systems, including photovoltaic and solar thermal systems. Gain knowledge about the environmental and economic benefits of solar energy and its role in sustainable development. Course 2: Sustainable Energy, Development and Environmental Impacts Explore the concept of sustainable energy and its significance in addressing environmental challenges. Analyze the environmental impacts of different energy sources and their contribution to sustainable development. Develop strategies for promoting sustainable energy practices in various industries. Course 3: Oil and Gas Industry Gain insights into the fundamentals of the oil and gas industry, including exploration, production, and distribution. Understand the economic and geopolitical factors influencing the global oil and gas market. Learn about environmental regulations and sustainability practices within the industry. Course 4: Petroleum Refining Demystified Comprehend the processes involved in petroleum refining and its role in producing various fuel products. Analyze the challenges and technologies associated with cleaner and more efficient refining. Gain knowledge of safety measures and environmental considerations in petroleum refining. This Renewable Energy Complete Course Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments. Course 5: Online Course in Conservation Learn about the principles and methods of conservation biology and ecology. Understand the importance of biodiversity conservation and ecosystem management. Explore practical approaches to conserving natural resources and protecting endangered species. Course 6: Environment Management Develop skills in environmental management, including planning, monitoring, and assessment. 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Course 10: Land Management Develop skills in land use planning, conservation, and sustainable land management. Learn about land tenure systems, property rights, and land-related policies. Explore techniques for land assessment, soil conservation, and land-use decision-making. Course 11: Diploma in Water Treatment Understand the principles of water treatment processes and their importance in ensuring clean and safe drinking water. Gain knowledge of various water treatment technologies and their applications in addressing water quality issues. Learn about the regulatory standards and quality control measures in water treatment. Course 12: Forestry Develop an understanding of forestry practices, including tree cultivation, maintenance, and sustainable harvesting. Explore the ecological and environmental aspects of forest ecosystems and biodiversity conservation. Learn about forestry management strategies and their role in sustainable resource utilization. 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Understand the importance of risk assessment and prevention in spill management. Course 20: Horticulture & Organic Gardening Explore the principles of horticulture and organic gardening practices. Learn about plant propagation, soil health, and sustainable gardening techniques. Gain knowledge of organic pest control and environmentally friendly gardening. Course 21: Homesteading Diploma Gain knowledge and practical skills related to homesteading, including food production, self-sufficiency, and sustainable living. Learn about the principles of permaculture and how to create a self-sustaining homestead. Understand the basics of animal husbandry, crop cultivation, and homestead design. Course 22: Floristry Academy Diploma Develop expertise in floral design, arranging, and creating stunning flower arrangements. Learn about the different types of flowers, foliage, and their care and maintenance. Explore the art of floristry for various occasions, from weddings to special events. Course 23: Arboriculture Understand the science and practice of arboriculture, including tree care, maintenance, and preservation. Learn about tree biology, pruning techniques, and risk assessment in tree management. Gain knowledge of urban forestry and the importance of trees in urban environments. Course 24: Marine Biology Course - Online Diploma Explore marine ecosystems, biodiversity, and the role of marine organisms in aquatic environments. Learn about marine conservation, environmental threats, and the importance of protecting marine life. Gain insights into the field of marine biology and its relevance in scientific research. Course 25: Garden Design Develop skills in garden design, landscape planning, and creating outdoor spaces. Learn about garden styles, plant selection, and principles of garden aesthetics. Understand the practical aspects of garden construction and maintenance. Course 26: Escaping Consumerism Explore the concept of consumerism and its impact on individuals and society. Learn strategies for reducing consumption, living more sustainably, and embracing minimalism. Gain insights into the benefits of conscious consumer choices and alternative lifestyles. Certification After studying the complete Renewable Energy Complete Course training materials, you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for free. Original Hard Copy certificates need to be ordered at an additional cost of •8. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Course 27: Administration of Emergency Medical Gases Acquire knowledge of emergency medical gases, their uses, and safe administration. Learn about the regulatory requirements and guidelines for handling medical gases in emergencies. Develop skills in responding to medical emergencies that require the use of medical gases. Course 28: Accredited level 3 Oceanography Diploma Explore the field of oceanography, including ocean dynamics, marine ecosystems, and climate science. Gain knowledge of oceanographic research methods and data analysis techniques. Understand the role of oceanography in addressing environmental challenges. Course 29: Hydrogen Sulphide Training: Safety and Awareness in Hazardous Environments Learn about the properties of hydrogen sulphide (H2S) and its hazards in industrial environments. Acquire skills in detecting, preventing, and responding to H2S emergencies. Understand safety protocols and equipment used in H2S-prone settings. Course 30: Public Realm Manager's Guide: Urban Planning and Management Explore urban planning principles, city management, and the role of public realm managers. Learn about urban design, public spaces, and strategies for enhancing the quality of urban life. Gain insights into sustainable urban development and effective public realm management. Course 31: Solar & Thermal Energy: Harnessing Renewable Power Sources Understand the principles of solar and thermal energy generation and their applications. Learn about renewable energy technologies, including solar panels and thermal systems. Explore the benefits of harnessing solar and thermal energy for sustainable power generation. Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Renewable Energy Complete Course bundle! This bundle is also ideal for professionals looking for career advancement. Renewable Energy Researcher Clean Energy Advocate Solar Installation Manager Wind Farm Operations Manager Biomass Energy Developer Climate Change Analyst Sustainability Director Renewable Energy Auditor Biofuel Production Technician Solar Panel Inspector Green Supply Chain Manager Energy Policy Analyst Wind Turbine Designer Solar Project Coordinator Energy Storage Specialist Geothermal Plant Operator Hydropower Plant Manager Environmental Consultant Renewable Energy Consultant Clean Energy Project Manager Sustainable Architecture Designer Energy Efficiency Engineer Renewable Energy Planner Carbon Emissions Analyst Biomass Fuel Technician Solar Power Plant Manager Wind Energy Researcher Energy Management Analyst Renewable Energy Technician Bioenergy Analyst Solar Power Systems Designer Wind Turbine Maintenance Technician Hydropower Systems Engineer Environmental Scientist Sustainable Business Manager Green Energy Policy Advisor Wind Turbine Blade Technician Solar Energy Systems Engineer Sustainable Transportation Planner Renewable Energy Sales Representative Biomass Energy Systems Designer Carbon Offset Specialist Climate Risk Analyst Geothermal Energy Researcher Energy Efficiency Consultant Solar Energy Analyst Green Building Project Manager Wind Turbine Tower Technician Hydropower Plant Engineer Environmental Educator Clean Energy Investment Analyst Renewable Energy Project Developer Sustainable Product Designer Green Supply Chain Analyst Energy Policy Researcher Wind Energy Systems Engineer Solar Panel Manufacturing Technician Biofuel Production Engineer Energy Efficiency Auditor Hydropower Project Coordinator Environmental Impact Analyst Sustainable Agriculture Specialist Renewable Energy Market Analyst Biomass Power Plant Manager Solar Energy Systems Installer Wind Farm Construction Manager Green Energy Consultant Wind Turbine Systems Engineer Requirements Course 32: Sustainable Management of Renewable Energy Resources Develop expertise in the sustainable management of renewable energy sources. Learn about energy policy, renewable energy systems, and their environmental impact. Explore strategies for integrating renewable energy into existing energy grids and systems. Career path Renewable Energy Engineer Solar Power Technician Wind Turbine Technician Biomass Plant Operator Energy Analyst Energy Consultant Sustainability Coordinator Solar Sales Consultant Wind Energy Project Manager Green Building Consultant Energy Efficiency Specialist Geothermal Technician Hydropower Engineer Environmental Compliance Analyst

Highlights of the Course Course Type: Online Learning Duration: 1 to 2 hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about creative writing Understand the core competencies and principles of creative writing Explore the various areas of creative writing Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert creative writer Certification in Creative Writing Masterclass: Start Writing Your Own Stories Course Master the skills you need to propel your career forward in creative writing. This course will equip you with the essential knowledge and skillset that will make you a confident creative writer and take your career to the next level. This comprehensive creative writing masterclass course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this creative writing masterclass course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective creative writing practice and equip you with the essential skills, confidence and competence to assist you in the creative writing industry. You'll gain a solid understanding of the core competencies required to drive a successful career in creative writing. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for creative writer or for people who are aspiring to specialise in creative writing. Enrol in this creative writing masterclass course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive creative writing masterclass course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this creative writing can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This creative writing masterclass course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This creative writing masterclass course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This creative writing masterclass course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Supplementary Resources Supplementary Resources - Creative Writing Masterclass: Start Writing Your Own Stories 00:00:00 Introduction Welcome to The Creative Writing Course 00:04:00 Exercise 1: Select a Prompt 00:03:00 Why Do We Write Elements of a Great Story & Why Do We Write 00:07:00 Grammar Tips General Grammar Rules & Rule Breakers 00:06:00 Storytelling The Core Elements of a Story 00:01:00 Characters: What Makes a Strong Character 00:03:00 Characters Types: Protagonist, Antagonist and Supporting Characters 00:04:00 Character Analysis: Harry Potter 00:04:00 Conflict: Building Drama in Your Story 00:05:00 Plot: The Beginning, Middle and End of Your Story 00:06:00 Setting: Where Your Story Takes Place 00:03:00 Theme and Point of View 00:05:00 Story Analysis: The Great Gatsby 00:15:00 Exercise 2: Understand Your Why as a Writer 00:02:00 Fiction vs. Nonfiction The Differences & Similarities of Fiction and Nonfiction Stories 00:06:00 Writing Creative Nonfiction Stories 00:10:00 Nonfiction Analysis: Prompt 00:01:00 Nonfiction Story Analysis: Father Time 00:07:00 Exercise 3: Brainstorm Your Story Elements 00:01:00 Find Your Medium What Medium is Right for Your Story 00:04:00 Writing Style What is a Writer's Style 00:06:00 Style Analysis: Ernest Hemingway 00:05:00 General Writing Process A General Overview of the Writing Process from Idea to Publishing 00:09:00 Writing Your Outline Outlining: How & Why We Outline 00:09:00 Writing Your Synopsis 00:02:00 Building Your Story in Your Outline 00:05:00 Exercise 4: Outline Your Story 00:01:00 Writing Your First Draft Tips for Writing Your First Draft 00:05:00 Exercise 5: Write Your First Draft 00:01:00 Editing Your Work Goals and Key Elements of Editing Your Writing 00:02:00 Edit the Aesthetics 00:04:00 Show Don't Tell 00:04:00 Assess the Goals of Your Story 00:02:00 Strengthen When Necessary 00:07:00 Exercise 6: Edit Your First Draft 00:01:00 Publishing: Finding a Home for Your Work Methods for Sharing Your Writing + Getting an Agent 00:07:00 Self Publishing Your Writing 00:03:00 Submitting to Literary Journals and Magazines 00:02:00 More Recommendations for Publishing Your Work 00:02:00 Self Publishing eBooks and Printed Books Can Be Easy 00:02:00 Amazon Kindle Tutorial: Publishing Your eBook and Print-on-Demand Book 00:18:00 Seeing Your Book Sales & Amazon Marketing Best Practices 00:09:00 Conclusion Final Thoughts on Creative Writing 00:04:00 Thank You 00:01:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Unlock the power of modular kitbashing and bring your medieval fantasy world to life with UE5. Learn unique techniques for stylized structures, functional water systems, open-world landscapes, custom prop collections, large-scale structures, and more. Build a stunning environment that blurs the line between reality and imagination using 250 modular assets.

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00

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Overview In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R. Learning Outcomes: Understand the foundational concepts of data science and machine learning. Familiarise oneself with the R environment and its functionalities. Master data types, structures, and advanced techniques in R. Acquire proficiency in data manipulation and visual representation using R. Generate comprehensive reports using R Markdown and design web applications with R Shiny. Gain a thorough understanding of machine learning methodologies and their applications. Gain insights into initiating a successful career in the data science sector. Why buy this Data Science & Machine Learning with R from A-Z course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Data Science & Machine Learning with R from A-Z there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Data Science & Machine Learning with R from A-Z course for? This course is ideal for Individuals keen on exploring the intricacies of machine learning and data science. Aspiring data analysts and scientists looking to specialise in Machine Learning with R. IT professionals aiming to diversify their skill set in the emerging data-driven market. Researchers seeking to harness the power of R for data representation and analysis. Academics and students aiming to bolster their understanding of modern data practices with R. Prerequisites This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Scientist - Average salary range: £35,000 - £70,000 Per Annum Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum Data Analyst - Average salary range: £28,000 - £55,000 Per Annum R Developer - Average salary range: £30,000 - £60,000 Per Annum R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum Course Curriculum Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Getting Started with R Getting Started 00:11:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Assignment Assignment - Data Science & Machine Learning with R 00:00:00

Creative Writing Masterclass Training Course Overview Are you looking to begin your creative writing career or want to develop more advanced skills in creative writing? Then this creative writing masterclass online training course will set you up with a solid foundation to become a confident creative writer and help you to develop your expertise in creative writing. This creative writing masterclass online training course is accredited by the CPD UK & IPHM. CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this creative writing masterclass online training course will set you up with a solid foundation to become a confident creative writer and develop more advanced skills. Gain the essential skills and knowledge you need to propel your career forward as a creative writer. The creative writing masterclass online training course will set you up with the appropriate skills and experience needed for the job and is ideal for both beginners and those currently working as a creative writer. This comprehensive creative writing masterclass online training course is the perfect way to kickstart your career in the field of creative writing. This creative writing masterclass online training course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. If you're interested in working as a creative writer or want to learn more skills on creative writing but unsure of where to start, then this creative writing masterclass online training course will set you up with a solid foundation to become a confident creative writer and develop more advanced skills. As one of the leading course providers and most renowned e-learning specialists online, we're dedicated to giving you the best educational experience possible. This creative writing masterclass online training course is crafted by industry expert, to enable you to learn quickly and efficiently, and at your own pace and convenience. Who should take this course? This comprehensive creative writing masterclass online training course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of creative writing. Entry Requirement There are no academic entry requirements for this creative writing masterclass online training course, and it is open to students of all academic backgrounds. As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol. Career path This creative writing masterclass online training course opens a brand new door for you to enter the relevant job market and also provides you with the chance to accumulate in-depth knowledge at the side of needed skills to become flourishing in no time. You will also be able to add your new skills to your CV, enhance your career and become more competitive in your chosen industry. Course Curriculum Introduction Welcome to The Creative Writing Course Exercise 1: Select a Prompt Why Do We Wright Elements of a Great Story & Why Do We Write Grammar Tips General Grammar Rules & Rule Breakers Storytelling The Core Elements of a Story Characters: What Makes a Strong Character Characters Types: Protagonist, Antagonist and Supporting Characters Character Analysis: Harry Potter Conflict: Building Drama in Your Story Plot: The Beginning, Middle and End of Your Story Setting: Where Your Story Takes Place Theme and Point of View Story Analysis: The Great Gatsby Exercise 2: Understand Your Why as a Writer Fiction vs Nonfiction The Differences & Similarities of Fiction and Nonfiction Stories Writing Creative Nonfiction Stories Nonfiction Analysis: Prompt Nonfiction Story Analysis: Father Time Exercise 3: Brainstorm Your Story Elements Find Your Medium What Medium is Right for Your Story Writing Style What is a Writer's Style Style Analysis: Ernest Hemingway General Writing Process A General Overview of The Writing Process From Idea to Publishing Writing Your Outline Outlining: How & Why We Outline Writing Your Synopsis Building Your Story in Your Outline Exercise 4: Outline Your Story Writing Your First Draft Tips for Writing Your First Draft Exercise 5: Write Your First Draft Editing Your Work Goals and Key Elements of Editing Your Writing Edit The Aesthetics Show Don't Tell Assess The Goals of Your Story Strengthen When Necessary Exercise 6: Edit Your First Draft Publishing: Finding a Home for Your Work Methods for Sharing Your Writing + Getting an Agent Self Publishing Your Writing Submitting to Literary Journals and Magazines More Recommendations for Publishing Your Work More Recommendations for Publishing Your Work Self Publishing eBooks and Printed Books Can Be Easy Amazon Kindle Tutorial: Publishing Your eBook and Print-on-Demand Book Seeing Your Book Sales & Amazon Marketing Best Practices Conclusion Final Thoughts on Creative Writing Thank You Recognised Accreditation CPD Certification Service This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Quality Licence Scheme Endorsed The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees.     Certificate of Achievement Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00