1913 Courses in Sheffield delivered On Demand

Make Better Project Decisions with Project Online Projects drive business success. The more information you have about those projects, the better your business will be able to retain customers, gain market share, and be competitive. Microsoft's Project and Portfolio Management (PPM) Solution, often referred to as Project Online, is an ideal way to manage projects. I frequently hear employees say they don't know what projects are active, the status of projects, and they don't know if they are at resource capacity or have idle resources. These questions and more are easily answered with Project Online. Through explanations and demonstrations, you will see how individuals in different roles use Project Online including team members, project managers, resource managers, executives, and PMO staff. You will learn about the capabilities to manage a mix of waterfall and agile projects and how information flows up to dashboard reports. You will learn about the project manager's enhanced capabilities when using Project Professional. The Project Online solution fits businesses of all sizes, from firms with just a handful of employees to multi-national companies.In this presentation we will cover common questions such as 'What software do I need to use Project Online?' and 'Why Should I Choose Microsoft's Enterprise Solution?' References will be provided to help you share answers with others. Attendees will have the option to reach out to the speaker for additional questions.

Description: Safety procedures are the most important part of any organization's Safety Management System. This Workplace Safety Manual Developing Course provide consistency and when followed create a safety working environment and greater productivity due to less injury down time. Safety procedure writing is more difficult and time consuming than it at first appears. By this course you will get the foundation to start writing effective safety procedures. You will learn to develop a safety procedure template, write and revise step-by-step safety procedures, and much more related to this sector. So, if you want to develop your skills don't wait to join this course. Learning Outcomes: Devise a Safety Procedure Framework Improvise a flowchart to perform process activities with an accurate depiction Exploit the brainstorming so that you can gather the crucial information for a safety procedure creation Realise a range of procedure types including (Step-by-step, Playscript, The Decision Tree and Decision Tables) Learn how to write and review Step-by-Step safety procedures Impart communication contents for the safety procedures Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Workplace Safety Manual Developing Course is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Workplace Safety Manual Developing Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Course Overview 00:05:00 Setting the Stage 00:15:00 Safety Procedures Basics 00:15:00 Flowcharting 00:30:00 Gathering Information 00:30:00 Procedure Writing 00:15:00 Honing the Draft Procedure 00:30:00 Some Other Methods 00:15:00 Mock Exam Mock Exam- Workplace Safety Manual Developing Course 00:20:00 Final Exam Final Exam- Workplace Safety Manual Developing Course 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Description: Microsoft Office Visio is a vector graphics and diagramming application. Its latest iteration, Microsoft Office Visio 2016, brings a lot of updates and functionality. Microsoft Visio 2016 Beginner to Advanced Course has been designed deliberately for the ease of learning in an efficient way. This course will help you get started from the basics; you will get accustomed with the interface, tools and features, simple diagrams, floor plans, flowcharts, etc. As you move up the skillset, you will be exposed to advanced stuff: organization chart, making a floor plan, cross-functional flowchart, network diagram, shapes, stencils, templates, leveraging development tools, etc. This course will give you an overall outlook from basic to advanced level aspects of this application. Learning Outcomes: Working with shape styles, utilizing 3D shapes, apply backgrounds, borders and titles in order to make your work stand out Creating custom stencils, simple custom shapes, master shapes and custom templates Connecting features, like pivot tables and data, from other Microsoft Office programs and using them Utilizing macros, ShapeSheets and advanced shape tools Sharing your drawings across multiple platforms Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Microsoft Visio 2016 Advanced is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Microsoft Visio 2016 Advanced is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Work with Shape Styles 00:30:00 Use 3D Shapes 00:30:00 Apply Backgrounds, Borders, and Titles 00:30:00 Create Custom Stencils 00:30:00 Create Simple Custom Shapes 00:30:00 Create Master Shapes 00:30:00 Create Custom Templates 00:30:00 Generate a Pivot Diagram from an Excel Spreadsheet 00:30:00 Create a Chart from a Project File 00:30:00 Create a Timeline from a Project File 00:30:00 Connect to an Access Database 00:30:00 Create Macros 00:30:00 Modify ShapeSheets 00:30:00 Use Advanced Shape Tools 00:30:00 Save and Share Drawings with One Drive 00:30:00 Review Drawings 00:30:00 Insert Drawings into Other Office Files 00:30:00 Export Drawings 00:30:00 Print Drawings 00:30:00 Activities Activities - Microsoft Visio 2016 Advanced 00:00:00 Mock Exam Mock Exam- Microsoft Visio 2016 Advanced 00:20:00 Final Exam Final Exam- Microsoft Visio 2016 Advanced 00:20:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Overview Learn about Agricultural Science from industry experts and boost your professional skill. This Agricultural Science course will enhance your skill and make you ready for the job market. You'll get expert opinions about the best practices and problems of Agricultural Science. You'll also gain the skills of Agricultural Science to excel in your job and tips to master professional skills in no time.  You'll be connected with the community of Agricultural Science professionals and gain first-hand experience of Agricultural Science problem-solving. The Agricultural Science is self-paced. You can complete your course and submit the written assignment in your suitable schedule. After completing the Agricultural Science, you'll be provided with a CPD accredited certificate which will boost your CV and help you get your dream job.  This Agricultural Science will provide you with the latest information and updates of Agricultural Science. It will keep you one step ahead of others and increase your chances of growth. Why buy this Agricultural Science? 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 Agricultural Science 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 course for? This Agricultural Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This Agricultural Science 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Agricultural Science is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Module 1: Introduction to Agricultural Science Introduction to Agricultural Science 00:18:00 Module 2: Horticulture and The Nursery Production Horticulture and The Nursery Production 00:22:00 Module 3: Plant Propagation Plant Propagation 00:32:00 Module 4: Soil Science Soil Science 00:25:00 Module 5: Plant Nutrition Plant Nutrition 00:25:00 Module 6: Controlling Plant Pests Controlling Plant Pests 00:24:00 Module 7: Weed Control Weed Control 00:30:00 Module 8: Home Gardening Home Gardening 00:17:00 Module 9: Ornamental Plants Ornamental Plants 00:14:00 Module 10: Cut Flowers Cut Flowers 00:18:00 Module 11: Permaculture Permaculture 00:20:00 Module 12: Aquaculture Aquaculture 00:18:00 Module 13: Animal Farming - Raising Beef Cattle Animal Farming - Raising Beef Cattle 00:24:00 Module 14: Animal Farming - Milking of Dairy Cattle Animal Farming - Milking of Dairy Cattle 00:23:00 Assignment Assignment - Agricultural Science 00:00:00

Welcome to the fascinating world of Botany, a course that will take you on an enchanting journey through the heart of the plant kingdom. From the intricate structure of tiny cells to the grandeur of towering trees, this course, simply titled 'Botany,' will immerse you in the wonders of the plant world. With 12 comprehensive modules, we will delve deep into the realm of plants, exploring their biology, morphology, genetics, and much more. In this course, we will lay the foundation by understanding the basic principles of biology, setting the stage for our botanical voyage. As we progress, you will gain a profound appreciation for the diversity and complexity of plant life. We will uncover the secrets of plant genetics and explore the rich history of plants. By the end of this course, you will be equipped with a deep understanding of botany, ready to embark on your own exploration of the plant kingdom. Learning Outcomes of Botany course: Gain a comprehensive understanding of the biology and anatomy of plants, from the cellular level to their ecological interactions. Learn to classify and name plants based on taxonomic principles, enhancing your botanical knowledge. Explore the fascinating world of plant genetics and evolution, uncovering the secrets of how plants have adapted over time. Develop a keen awareness of plant ecology, understanding their role in ecosystems and environmental conservation. Acquire knowledge about cryptograms, microbes, gymnosperms, and angiosperms, broadening your botanical horizons. Why buy this Botany Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Botany Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Botany course for? Students pursuing a degree in biology or related fields seeking a strong foundation in botany. Nature enthusiasts and gardeners looking to deepen their understanding of plants. Educators and teachers aiming to enhance their botanical knowledge for effective teaching. Environmentalists and conservationists interested in the role of plants in preserving ecosystems. Anyone with a curious mind eager to explore the intricate world of plants. Career path Botanist: £25,000 - £45,000 per annum Ecologist: £22,000 - £40,000 per annum Horticulturist: £20,000 - £35,000 per annum Plant Geneticist: £30,000 - £50,000 per annum Environmental Consultant: £25,000 - £45,000 per annum Park Ranger: £18,000 - £30,000 per annum Prerequisites This Botany does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Botany 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction to Biology Introduction to Biology 00:25:00 Module 02: Morphology of Plants Morphology of Plants 00:36:00 Module 03: Cell Biology and Anatomy of Plants Cell Biology and Anatomy of Plants 00:38:00 Module 04: Naming Plants and Taxonomic Classifications Naming Plants and Taxonomic Classifications 00:38:00 Module 05: Plant Physiology Plant Physiology 00:42:00 Module 06: Embryology of Plants Embryology of Plants 00:43:00 Module 07: Plant Genetics and Evolution Plant Genetics and Evolution 00:39:00 Module 08: Plant Ecology Plant Ecology 00:44:00 Module 09: Cryptograms and Microbes Cryptograms and Microbes 00:54:00 Module 10: The Gymnosperms The Gymnosperms 00:29:00 Module 11: Angiosperms - The Flowering Plants Angiosperms - The Flowering Plants 00:39:00 Module 12: Palaeobotany Palaeobotany 00:22:00 Assignment Assignment - Botany 00:00:00

Selling isn’t just about pushing products – it’s about conversations, timing, and knowing how to build trust without sounding like a script. This Sales Skills course helps learners grasp the essentials of persuasive communication, structured selling techniques, and relationship-focused approaches that actually work – whether you're closing deals over the phone, via email, or online platforms. It’s designed to sharpen your ability to identify buying signals, manage objections with confidence, and keep conversations naturally flowing towards a positive outcome. Whether you're new to the world of sales or you’re aiming to sharpen the edges of your approach, this CPD-accredited course offers a clear path to refining your strategies without wading through fluff. With modules tailored to today’s fast-paced digital environments, you’ll learn how to adjust your tone, time your follow-ups smartly, and build rapport in ways that feel authentic. No jargon, no awkward pitch lines – just solid sales skills that help people say “yes” more often. Alongside the lessons, you also get a certificate for free after passing the course for all your career advancement needs. With tutor support, a money-back guarantee and CPD certification, there's no better course out there for you to learn about Sales Skills - CPD Accredited. Enrol now and we'll see you in class. P.S. - there's a full curriculum breakdown given in the description section below. Check it out if you want more information about the course and the topics it covers. Course Curriculum: Module One: Basic Rules for Sales People Module Two: Cold Calling Module Three: Face-to-Face Meetings Module Four: Rapport Building Module Five: Sales Presentations Module Six: Results Selling Module Seven: Handling Negotiations Module Eight: Dealing With Objections Module Nine: Closing the Sale Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing Sales Skills - CPD Accredited course. For each test, the pass mark will be set to 60%. CPD 10 CPD hours / points Accredited by The CPD Certification Service Who is this course for? The Sales Skills - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Sales Skills - CPD Accredited training.

Visualise stepping into a world filled with the scent of fresh blooms and the opportunity to create beauty every day. This is the magic of floristry. You can turn this compelling vision into reality with our floristry and flower arrangements course. The floristry industry has exciting opportunities to work in retail, event planning, teaching, and more. Our floristry and flower arrangements course provides a comprehensive insight into the intricacies of floral design, from the care and treatment of flowers to creating breathtaking arrangements for various occasions. As you journey through the modules, you will cultivate knowledge, an artistic eye, and a craftsperson's precision. Immerse yourself in the world of floristry and unlock a fulfilling, creative career. This is more than a course; it's your first step towards blossoming in the floristry industry. You Will Learn Following Things: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers everything you must know to stand against the tough competition. The future is truly yours to seize with this Floristry. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access This course covers everything you must know to stand against the tough competition. The future is truly yours to seize with this Floristry. Enrol today and complete the course to achieve a certificate that can change your career forever. Process of Evaluation After studying the course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the Floristry course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? This floristry and flower arrangements course is ideal for individuals with a passion for flowers and a flair for creativity. Whether you're a hobbyist looking to improve your skills, or someone considering a career in the floristry industry, this floristry and flower arrangements course provides a comprehensive overview and practical knowledge. It's also suitable for experts in the event industry who want to add a new skill set or for anyone wishing to learn the art of floristry to create beautiful arrangements for their homes or special events. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Floristry course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Floristry Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Retail Florist - £15K to £25K/year Wedding Florist - £20K to £30K/year Floral Designer - £18K to £28K/year Wholesale Florist Supplier - £20K to £32K/year Course Curriculum Floristry Introduction to Floristry 00:46:00 Services Provided by Florists 00:21:00 Flowers and Plants 01:08:00 Flower Care and Treatment 00:36:00 Choosing Popular Flowers and Fillers 00:45:00 Elements and Principles of Design 00:54:00 How to Make Floral Arrangements 01:04:00 Making Bouquet, Corsage, Fruit Basket & Basket Garden 00:35:00 Wedding Floristry 00:10:00 Making Funeral Flower Arrangements 00:31:00 Beautiful Floral Designs 00:45:00 Getting a Job in the Floristry Industry 00:30:00 Starting Your Own Floristry Business 00:54:00 Bonus Material: Important Images Used in this Course 00:00:00

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? 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 Complete Python Machine Learning & Data Science Fundamentals 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 course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00

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