Motivation: Motivational Interviewing Would you like to master motivational interviewing principles to make positive changes? We have created a special motivational interviewing course to spread positive word training all over. Through the motivational interviewing course, you will learn empathetic dialogue and active listening. Also, in the motivational interviewing course, attendees learn to navigate ambivalence, enhance intrinsic motivation, and guide individuals towards their goals. The motivational interviewing course’s key components include open-ended questioning, reflective listening, and eliciting change talk. Moreover, this motivational interviewing course's practical exercises and case studies provide opportunities to apply techniques in diverse contexts, fostering skill development. Participate in our motivational interviewing course to learn effective communication strategies to inspire behavioural change. Special Offers of this Motivation: Motivational Interviewing Course This Motivation: Motivational Interviewing Course includes a FREE PDF Certificate. Lifetime access to this Motivation: Motivational Interviewing Course Instant access to this Motivation: Motivational Interviewing Course Get FREE Tutor Support to this Motivation: Motivational Interviewing Course Motivation: Motivational Interviewing Unlock the power of empathetic communication with our Motivation: Motivation Interviewing Course. Through this comprehensive Motivation: Motivation course, you'll master the art of empathetic dialogue and active listening, essential for guiding individuals towards their goals. Our Motivation: Motivation training will teach you how to navigate ambivalence and enhance intrinsic motivation, making it easier to inspire change. The Motivation: Motivation course covers key techniques like open-ended questioning, reflective listening, and eliciting change talk. Plus, with practical exercises and case studies, our Motivation: Motivation course ensures you can apply these skills in real-world scenarios. Elevate your professional impact with our Motivation: Motivation Interviewing Course. Who is this course for? Motivation: Motivational Interviewing This motivational interviewing course is ideal for those looking to advance their career in relevant fields. Requirements Motivation: Motivational Interviewing To enrol in this Motivation: Motivational Interviewing Course, students must fulfil the following requirements. To join in our Motivation: Motivational Interviewing Control Course, you must have a strong command of the English language. To successfully complete our Motivation: Motivational Interviewing Course, you must be vivacious and self driven. To complete our Motivation: Motivational Interviewing Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Motivation: Motivational Interviewing Course. Career path Motivation: Motivational Interviewing You can pursue a profession as a motivational interviewer, social worker, counsellor, or in many other fields with the use of this motivational interviewing course.
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Facilities Management: Facilities Management Course Online This Facilities Management: Facilities Management course will assist you in broadening your knowledge and understanding of the facilities management: facilities management sector. The course is designed for senior managers in the sector and emphasises a balance between the practical and theoretical aspects of working in facilities management: facilities management. Throughout this Facilities Management: Facilities Management course, you will be able to develop your ability to reformulate and apply relevant knowledge, skills, and techniques in the field to meditate and solve complex problems. The Level 7 Diploma in Facilities Management: Facilities Management course covers facilities planning, change management, vendor management & outsourcing, facilities management: facilities management service providers and much more. By the end of this Facilities Management: Facilities Management course, you will be able to examine the art of effective vendor relations and contract management, the significance of quality management, human resource management strategies, and the purpose of contingency planning. Learn how to be an invaluable contributor in any organisational setting by enrolling in our exclusive Level 7 Diploma in Facilities Management: Facilities Management course. Main Course: Facilities Management Diploma Additional Courses included with Facilities Management : Facilities Management course Course 01: Level 2 Certificate in Business Management Course 02: Level 7 Diploma in Operations Management Course 03: Level 4 Time Management Course 04: Level 7 Leadership & Management Course 05: Level 7 Business Management [ Note: Free PDF certificate as soon as completing the Facilities Management: Facilities Management course] Facilities Management: Facilities Management Course Online This Facilities Management: Facilities Management Course consists of 14 modules. Assessment Method of Facilities Management: Facilities Management Course After completing Facilities Management: Facilities Management - Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Certification of Facilities Management: Facilities Management Course After completing the Facilities Management: Facilities Management - Course, you can instantly download your certificate for FREE. Who is this course for? Facilities Management: Facilities Management Course Online This Facilities Management: Facilities Management - Course is ideal for those looking for a formal qualification to advance their careers in any of the following fields: - Facilities Managers, Facilities Coordinator, Facilities Assistant, Facilities Administrator. Requirements Facilities Management: Facilities Management Course Online To enrol in this Facilities Management: Facilities Management Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Facilities Management: Facilities Management Course. Be energetic and self-motivated to complete our Facilities Management: Facilities Management Course. Basic computer Skill is required to complete our Facilities Management: Facilities Management Course. If you want to enrol in our Facilities Management: Facilities Management Course, you must be at least 15 years old. Career path Facilities Management: Facilities Management Course Online This Facilities Management: Facilities Management Course will lead you to many different career opportunities; here are few prospects: - Facilities Management: Facilities Management Tutor: £27,000 - £27,001 per annum Head of Facilities Management: £11.50 per hour Administrator - Facilities Management: £10.58 per hour.
Level 5 Gardening, Garden Design & Horticulture Do you want to update your garden but don't know where to start? You can explore the fascinating field of developing lovely landscapes with the help of our in-depth Gardening, Garden Design & Horticulture course. This Gardening, Garden Design & Horticulture course will allow you to analyze the fundamental concepts, including tools, spacing, water, etc. The technique, functions, and numerous criteria of Gardening, Garden Design & Horticulture are covered throughout the Gardening, Garden Design & Horticulture course. Moreover, recommendations for walls, fences, and ecosystems of Gardening, Garden Design & Horticulture are provided in this Gardening, Garden Design & Horticulture course. Also, topics like plant selection, garden management, and creating rain gardens are covered in the Gardening, Garden Design & Horticulture course. Ultimately, this Gardening, Garden Design & Horticulture course equips you with all the knowledge and abilities needed to create beautiful, functional gardens. Enrol in this course on Gardening, Garden Design & Horticulture to discover how to design a garden on your own! Special Offers of this Gardening, Garden Design & Horticulture Course: This Gardening, Garden Design & Horticulture Course includes a FREE PDF Certificate Lifetime access to this Gardening, Garden Design & Horticulture Course Instant access to this Gardening, Garden Design & Horticulture Course 24/7 Support Available to this Gardening, Garden Design & Horticulture Course [ Note: Free PDF certificate as soon as completing the Gardening, Garden Design & Horticulture Course] Level 5 Gardening, Garden Design & Horticulture Unlock your creativity with our Garden Design & Landscaping course, where you'll explore essential Garden Design concepts such as tools, spacing, and water management. This comprehensive Garden Design course covers techniques, functions, and critical criteria that define successful landscaping. Dive into Garden Design recommendations for walls, fences, and ecosystem integration, ensuring your projects are both beautiful and sustainable. You'll also learn about plant selection, garden maintenance, and the art of creating rain gardens in our Garden Design course. By the end of this Garden Design program, you'll possess the skills and knowledge to design stunning and functional gardens. Who is this course for? Level 5 Gardening, Garden Design & Horticulture Anyone interested in a profession in horticulture or garden design should take the Garden Design & Landscaping course. Requirements Level 5 Gardening, Garden Design & Horticulture To enroll in this Gardening, Garden Design & Horticulture Course, students must fulfill the following requirements: Garden Design: Good Command over English language is mandatory to enrol in our Construction Safety Course. Garden Design: Be energetic and self-motivated to complete our Construction Safety Course. Garden Design: Basic computer Skill is required to complete our Construction Safety Course. Garden Design: If you want to enrol in our Construction Safety Course, you must be at least 15 years old. Career path Level 5 Gardening, Garden Design & Horticulture The Garden Design & Landscaping course will prepare you to advance in your career. you can pursue careers in horticulture, landscape design, garden design, and other related fields.
Copywriting: Copywriting Course Online Unlock the Power of Copywriting: Copywriting Course: Enrol Now! Are you looking to start a copywriting career or do you want to improve your copywriting skills? Then this Copywriting: Copywriting Course will provide you with a solid foundation for becoming a confident copywriter and will assist you in developing your copywriting expertise. This Copywriting: Copywriting Course will take you on a step-by-step tour of the copywriter's role, covering all of the skills and knowledge required to succeed in this field. This Copywriting: Copywriting Course will help you quickly learn the skills you'll need to make a name for yourself in the commercial writing market. Through this Copywriting: Copywriting Course, you will learn the fundamentals of writing as well as how to create "eye-catching" headlines and "attention-grabbing" advertisements. Along with this, you will be taught how to constantly improve your writing style and how to adapt your material based on the expectations of your client or company. Main Course: Level 4 Copywriting course Free Courses included with Copywriting: Copywriting Course: Along with Copywriting Course you will get free Level 5 Proofreading & Copy Editing Along with Copywriting Course you will get free Creative Writing Special Offers of this Copywriting: Copywriting Course: This Copywriting: Copywriting Course includes a FREE PDF Certificate. Lifetime access to this Copywriting: Copywriting Course Instant access to this Copywriting: Copywriting Course 24/7 Support Available to this Copywriting: Copywriting Course Copywriting: Copywriting Course Online You will learn how to create a clear and convincing writing style by taking the Copywriting: Copywriting Course. You can connect emotionally with your audience with Copywriting: Copywriting Course while also comprehending email strategies and sales material. Also, this Copywriting: Copywriting Course covers the art of selling as well as effective methods for developing tempting offers. This Copywriting: Copywriting Course lesson covers objections and inspires readers to take the necessary action. Also, this Copywriting: Copywriting Course will teach you how to design successful direct mail campaigns. Who is this course for? Copywriting: Copywriting Course Online This Copywriting: Copywriting Course is ideal for those who want to be professional copywriters and want to engage in media writing. It may also benefit proofreaders or those seeking a specific writing role. Requirements Copywriting: Copywriting Course Online To enrol in this Copywriting: Copywriting Course, students must fulfil the following requirements: Copywriting: Good Command over English language is mandatory to enrol in our Copywriting Course. Copywriting: Be energetic and self-motivated to complete our Copywriting Course. Copywriting: Basic computer Skill is required to complete our Copywriting Course. Copywriting: If you want to enrol in our Copywriting Course, you must be at least 15 years old. Career path Copywriting: Copywriting Course Online This Copywriting: Copywriting Course is ideal for professional writers who want to pursue a career in copywriting or a related field. This is likely to include the following roles and careers: Copywriter Content writer Copywriter Interns Freelance Writer Advertising Staff
Report Writing: Report Writing Course Online Unlock the Power of Report Writing: Report Writing Course: Enrol Now! It is important to understand how to write reports and proposals that get read. We write reports in a variety of formats and for a variety of purposes. Report Writing: Report Writing Course is a skill that will come in handy whether you need to report on a product analysis, inventory, feasibility studies, or something else. Having a method for preparing these documents will allow you to complete the task as efficiently as possible. This Report Writing: Report Writing Course will build on a strong foundation of writing skills in order to present information in formal, informal, and proposal formats. Throughout this Report Writing: Report Writing Course, you will learn goal settings, interpersonal skills, knowledge management, communication strategies, business writing, collaborative business writing, proposal writing and critical thinking. This Report Writing: Report Writing Course also covers principles for effective report writing, desktop publishing, layout and design, typography, illustrations and much more. Special Offers of this Report Writing: Report Writing Course This Report Writing: Report Writing Course includes a FREE PDF Certificate. Lifetime access to this Report Writing: Report Writing Course Instant access to this Report Writing: Report Writing Course 24/7 Support Available to this Report Writing: Report Writing Course [ Note: Free PDF certificate as soon as completing the Report Writing: Report Writing Course] Report Writing: Report Writing Course Online Master the art of creating impactful reports with our Report Writing: Report Writing course. Whether you’re drafting product analyses, feasibility studies, or inventory reports, this Report Writing: Report Writing course equips you with the skills needed to present information clearly and professionally. By enrolling in the Report Writing: Report Writing course, you’ll develop strong writing skills for both formal and informal formats, along with crucial skills like goal setting, business writing, and proposal drafting. Learn effective communication strategies, layout and design principles, and much more. Make your reports stand out with our Report Writing: Report Writing course! Certificate of Completion You will receive a course completion certificate for free as soon as you complete the Report Writing: Report Writing Course. Who is this course for? Report Writing: Report Writing Course Online This Report Writing: Report Writing Course is ideal for: Business owners, managers, entrepreneurs Entrepreneurs planning to start their own business. People seeking to expand their career opportunities. Existing employees looking to develop their CPD Office workers at all levels Team Leaders and supervisors Requirements Report Writing: Report Writing Course Online To enrol in this Report Writing: Report Writing Course, students must fulfil the following requirements: Report Writing: Good Command over English language is mandatory to enrol in our Report Writing Course. Report Writing: Be energetic and self-motivated to complete our Report Writing Course. Report Writing: Basic computer Skill is required to complete our Report Writing Course. Report Writing: If you want to enrol in our Report Writing Course, you must be at least 15 years old.
Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights. Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? 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 Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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 Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up 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 Essentials 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 Python for Data Analysis using NumPy 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 Python for Data Analysis using Pandas 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 Python for Data Visualization using matplotlib 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 Python for Data Visualization using Seaborn 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 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks 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 Capstone Project - Python for Data Analysis & Visualization 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 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model 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 Python for Machine Learning - scikit-learn - Logistic Regression Model 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 Python for Machine Learning - scikit-learn - K Nearest Neighbors 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 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests 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 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) 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 Python for Machine Learning - scikit-learn - K Means Clustering 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 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) 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 Recommender Systems with Python - (Additional Topic) 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 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) 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 Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00
Onze studenten, alumni en docenten zijn ijzersterk in het bedenken van artistieke en creatieve concepten. Maar om van concept te gaan naar realisatie zijn er acht andere bouwstenen die even noodzakelijk zijn. Die bouwstenen vormen samen een business plan. Gelukkig is er met het Canvas Model van Alex Osterwalder een model dat je toelaat om die bouwstenen snel en accuraat te benoemen zodat je creatief concept geen volledig boekdeel nodig heeft om tot stand te komen. Deze webinar is bijzonder handig voor studenten en docenten die overwegen om een LUCAbreakoutsteun aan te vragen. Dit model wordt gebruikt in de beoordeling van de voorstellen.
Music industry advice sessions are back! Sound Gallery studios are proud to host once again music industry advice seminars led by Integrity Records Record label owner one of the U.K.’s longest running truly independent record labels and known for finding & nurturing cool new talent. Find out how to pitch your music to music industry professionals, how to build and sustain a career as a professional musician, how to set up your own record label, how to protect your creation including copyright and music publishing, how to get airplay and more from Integrity Records CEO and founder Nick Tarbitt. Nick has many years experience as a media & entertainment lawyer, advising musicians, management companies and record labels on contractual issues, but with a particular interest in assisting new artists, musicians and performers with their early steps in the industry, including their first band agreements, management contracts, recording deals, licensing and publishing agreements. Integrity Records releases, spanning various genres from punk to drum & bass via indie-folk and quirky pop, have been heard on BBC Radio 1, BBC 6 Music and BBC Radio 2, alongside XFM/Radio X, Q Radio, Amazing Radio and numerous regional stations in the UK and abroad. Many of their artists have played live sessions from the BBC Maida Vale studios for Steve Lamacq, Jo Whiley, Zane Lowe and more. Suitable for: unsigned and emerging artists, singer-songwriter, bands and musicians. Bookings: call the studio: 01392-495301 or email: marketing@sound-gallery.net Venue: Sound Gallery Studios, Exeter Phoenix, Gandy street, Exeter, EX4 3LS Costs: £120 / 2 hr session for 1:1 sessions - £150 / 2 hr session for small groups 4-8 people
Learn the techniques needed to offer a classic cut throat shave to your clients.