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This Caring for Children provides an understanding of the knowledge and skills required to care for young children. It covers the growth, learning, and development of children. There are also modules to help with self-development. Through this Caring for Children course you will learn how to help children in developing their communication and language skills, the health and safety guidance involved in caring for children, how play can help a child's learning and development and how to respect and value children as individuals. Learning Outcomes After completing this Caring for Children course, learner will be able to: Understand how play can help a young child to gain confidence. Gain skills for communicating with a young child Gain a thorough understanding of growth and development of young children Understand Human Growth and Development Know how to respect and value Children Understand healthy eating for families Why Choose Level 1 Award In Caring for Children Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing this course. ***Courses are included in this Caring for Children Bundle Course: Course 01: Caring for Children Course 02: Level 2 Safeguarding Children Training Course Course 03: Level 3 Certificate in Understanding Autism Course 04: Level 4 Diploma in Child Counselling Course Course 05: Level 4 Diploma in Child Psychology Course Course 06: Primary Teaching Diploma Course 07: Diploma in Special Education Needs (SEN) Course 08: Childcare and Nutrition Course 09: Speech & Language Therapy ***Others Benefits of Caring for Children Bundle Course: Free 09 PDF Certificate Access to Content - Lifetime Exam Fee - Totally Free Unlimited Retake Exam [ Note: Free PDF certificate as soon as completing the course ] ***Caring for Children*** Detailed Course Curriculum Module 1: Confidence Building for the Young Child Through Play know the Support a Young Child Needs to Gain Confidence Through Play know How to Encourage a Young Child to Express Their Feelings Through Play Module 2: Listening to and Talking with a Young Child Know Skills for Communicating with a Young Child Understand Activities that will Develop a Child's Talking and Listening Skills Module 3: Growth and Development of Young Children know About Factors Which Influence Growth and Development of Children From Birth to 5 Years 11 Months know How to Support Growth and Development of Children Module 4: Human Growth and Development know About Human Growth and Development know Factors That Affect Human Growth and Development Module 5: Respecting and Valuing Children Know How to Respect and Value Children as Individuals Understand Ways to Respect and Value Children Know that Children Have Rights Module 6: Healthy Eating for Families Understand the Importance of a Balanced Diet Know About Good Eating Habits for Families Know Special Food Requirements for Groups and Individuals Know How to Store and Handle Food safely ------------------------ Assessment Method After completing each module of the Caring for Children Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification After completing the MCQ/Assignment assessment for this Caring for Children course, you will be entitled to a Certificate of Completion from Training Tale. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? **Caring for Children** This Caring for Children course is for anyone who is considering a career in caring for children. It could also help you re-engage with learning and remove barriers to entering the childcare workforce. Requirements **Caring for Children** There are no specific requirements for this Caring for Children course because it does not require any advanced knowledge or skills. Career path **Caring for Children** This Caring for Children course provides an ideal route into a career in child care and results in a fully recognised qualification, with a number of progression routes to higher level child care and teaching assistant qualifications. Certificates Certificate of completion Digital certificate - Included

A Warm Welcome to Ludo Tutors Founded in 2017 by Martha, a Dyslexic and Dyspraxia graduate from Cambridge University (Education with English and Drama, BA MA Cantab), Ludo Tutors was created to provide students with a holistic, well-rounded education and excellent quality Tutors. We have over 150 Tutors on our books and tutor everything from Academic subjects (such as 11+ Exams, Key Stage Three Science, GCSEs and A Levels) through to LAMDA Drama, Shakespeare and Public Speaking Exams). What are 11+ / Entrance Exams? 11+ Exams, sometimes called 'Entrance Exams', are examinations that many UK private schools. The rare usually competitive and a bit daunting! Don't panic, though - we're here to help!  How do I take Entrance Exams? Different schools have different application procedures, timelines and expectations. Some will belong to a body of schools using the same examination papers, whereas others will set their own, independent exams. Many also charge an administration fee. We do not advise parents on the applications themselves, but we have garnered a depth of knowledge about 11+ Exams that enable our Tutors to workeffikiently and effectively, whilst still keeping their students engaged and in good spirits. Who are your Tutors? Over half of our Tutors studied at either Oxford or Cambridge University and many hold PGCEs or TEFL/CELTA qualifications. All Tutors are Enhanced DBS checked. We interview each Tutor personally, to get to know them and to find our students the best match. What 11+ experience do you have? Our Founder, Martha, has extensive experience preparing students for the UK's top independent school exams, with many of her students achieving their first choice school, if not also a scholarship - lovely! This work is now carried out by our experienced and friendly tutors, with input from Martha if, as and when they may need extra support.

Attachment Theory in the Early Years: Attachment Theory in the Early Years Online Unlock the Power of Attachment Theory in the Early Years: Attachment Theory in the Early Years Course: Enrol Now! Most, if not all, people's attachments to others are at the center of their lives and play a significant role in determining how happy and content they are. In addition to promoting good mental health in young children, love,care is needed to enhance your confidence and build a healthy life. Only local guardians are not responsible, we all need to share our care for growing a child. This Attachment Theory in the Early Years: Attachment Theory in the Early Years course covers how to build relationships with their parents, and the types of attachment. The course also covers attachment behaviors, controlling children's needs, along with expert suggestions for the best ways to interact with children and their families. After completing this Attachment Theory in the Early Years: Attachment Theory in the Early Years course learners will be able to gain a depth of knowledge on how to get closer to a child in their early life. The learner will understand the concept of implementing attachment theory in real life. Main Course: Attachment Theory in the Early Years Courses you will get: Course 01: Childcare and Nutrition Course 02: Diploma in Special Education Needs (SEN) Others benefit Included with Attachment Theory in the Early Years course Free 3 PDF Certificate Access to Content - Lifetime Exam Fee - Totally Free Free Retake Exam [ Note: Free PDF certificate as soon as completing the Attachment Theory in the Early Years course] Attachment Theory in the Early Years: Attachment Theory in the Early Years Online This Attachment Theory in the Early Years: Attachment Theory in the Early Years course consists of 02 modules. Course Curriculum of Attachment Theory in the Early Years: Attachment Theory in the Early Years Module 01: Attachment Theory Module 02: Putting it into Practice Assessment Method of Attachment Theory in the Early Years: Attachment Theory in the Early Years After completing Attachment Theory in the Early Years: Attachment Theory in the Early Years Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Attachment Theory in the Early Years: Attachment Theory in the Early Years After completing the Attachment Theory in the Early Years: Attachment Theory in the Early Years course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Attachment Theory in the Early Years: Attachment Theory in the Early Years Online This Attachment Theory in the Early Years: Attachment Theory in the Early Yearscourse is ideal for everyone who is concerned about children welfare, professionals in early childhood environments. Requirements Attachment Theory in the Early Years: Attachment Theory in the Early Years Online To enrol in this Attachment Theory in the Early Years Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Attachment Theory in the Early Years Course. Be energetic and self-motivated to complete our Attachment Theory in the Early Years Course. Basic computer Skill is required to complete our Attachment Theory in the Early Years Course. If you want to enrol in our Attachment Theory in the Early Years Course, you must be at least 15 years old. Career path Attachment Theory in the Early Years: Attachment Theory in the Early Years Online After completing this Attachment Theory in the Early Years: Attachment Theory in the Early Years course, you may be able to pursue a variety of promising career opportunities.

Health and Wellbeing Course Online Unlock the Power of Health and Wellbeing Course: Enrol Now! Do you want to learn more about the science behind what keeps us healthy? Do you wish to pursue a profession in wellness or healthcare? Then this Health and Wellbeing Course is ideal for you. This Health and Wellbeing course provides a solid foundation of the principles in health and wellbeing. In addition, the skills and knowledge that you will gain through studying this Health and Wellbeing course will help you get one step closer to your professional goals and develop your skills for a successful career. Learning Objectives After completing this Health and Wellbeing course, the learner will be able to: Understand the fundamentals of health and wellbeing. Understand personality disorders and psychotic disorders. Understand anxiety disorders and mood disorders. Explain Schizophrenia. Gain a thorough understanding of health stress and coping. Understand the fundamentals of environmental health and risk assessment. Treat psychological disorders. Know the impacts of alcohol & tobacco use on personal health. This Health and Wellbeing course will teach you about health and social concerns like addiction, mood disorders, and nutrition, among many others. Whether you desire to be a Social Worker, a Counsellor, or a Mental Health Worker, theHealth and Wellbeing course is a complete guide that will equip you to help others. Enrol in the Health and Wellbeing Course to gain access to high-quality training modules that will cover the essential topics you need to excel in your chosen field and help you get closer to your dream job! Courses you will get: Course 01: Health and Wellbeing Course 02: Introduction to Psychology Course 03: Equality and Diversity Course 04: Autism Diploma [ Note: Free PDF certificate as soon as completing the Health and Wellbeing course] Health and Wellbeing Course Online This Health and Wellbeing Course consists of 10 modules. Course Curriculum of Health and Wellbeing Course Module 01: Fundamentals of Health and Wellbeing Module 02: Understanding Personality Disorders and Psychotic Disorders Module 03: Understanding Anxiety Disorders and Mood Disorders Module 04: Schizophrenia Module 05: Health Stress and Coping Module 06: The Impacts of Alcohol & Tobacco Use for Personal Health Module 07: Some Important Topics Related to Personal Health (1) Module 08: Some Important Topics Related to Personal Health (2) Module 09: Fundamentals of Environmental Health and Risk Assessment Module 10: Treating Psychological Disorders Assessment Method of Health and Wellbeing Course After completing Health and Wellbeing Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Health and Wellbeing Course After completing the Health and Wellbeing Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Health and Wellbeing Course Online You do not need any prior qualifications or experience to apply for this Health and Wellbeing Course. This course is open to anyone who wants to learn new skills. Requirements Health and Wellbeing Course Online To enrol in this Health and Wellbeing Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Health and Wellbeing Course. Be energetic and self-motivated to complete our Health and Wellbeing Course. Basic computer Skill is required to complete our Health and Wellbeing Course. If you want to enrol in our Health and Wellbeing Course, you must be at least 15 years old. Career path Health and Wellbeing Course Online

Course Overview The 120 Hours TEFL (TESOL) Masterclass is a comprehensive programme designed for individuals aspiring to teach English as a foreign or second language. This course provides a robust foundation in teaching methodologies, linguistics, grammar, pronunciation, and classroom management. Learners will develop the confidence and competence needed to deliver engaging and effective English lessons across diverse cultural and educational settings. By the end of the course, participants will be equipped with the theoretical knowledge and instructional strategies to teach English successfully to learners of all ages and proficiency levels. This qualification opens the door to teaching opportunities worldwide, enhancing employability in an ever-expanding global market. Whether seeking to start a new career, travel while teaching, or advance existing skills, this course offers valuable expertise and an internationally recognised credential. Course Description This professionally structured TEFL (TESOL) Masterclass covers all the essential aspects of English language teaching. Modules explore topics such as second language acquisition, teaching receptive and productive skills, lesson planning, classroom management, and the integration of technology into teaching. Learners will gain a solid grounding in linguistics, master techniques for teaching grammar, vocabulary, pronunciation, and discover innovative ways to motivate students through games and activities. Throughout the course, participants will build essential skills for creating dynamic learning environments and adapting teaching methods to different learner needs. With a focus on academic excellence and professional development, this course prepares learners for a rewarding career in English language teaching across schools, private institutions, and online platforms. Upon completion, learners will possess a deep understanding of English teaching practices, ready to inspire students and contribute meaningfully to educational communities around the world. Course Modules Module 01: Introduction to English Language Teaching and Learning Module 02: Linguistics Module 03: English Pronunciation Module 04: Teaching Grammar and Vocabulary Module 05: Language Teaching Methodologies Module 06: Teaching Receptive Skills: Reading Module 07: Teaching Productive Skills: Writing Module 08: Teaching Receptive Skills: Listening Module 09: Teaching Productive Skills: Speaking Module 10: Lesson Planning Module 11: Use of Games and Activities Module 12: Technology in Second Language Teaching Learning Module 13: Classroom Management and Student Motivation Module 14: Teaching English: Situational Approach Module 15: Professional Development and Employment (See full curriculum) Who is this course for? Individuals seeking to teach English to speakers of other languages. Professionals aiming to transition into the education sector or broaden their teaching credentials. Beginners with an interest in English language teaching and global communication. Travellers and expatriates looking to pursue international teaching opportunities. Recent graduates considering a career in education and language instruction. Career Path English as a Foreign Language (EFL) Teacher English as a Second Language (ESL) Instructor Online English Tutor Academic English Teacher English Language Programme Coordinator English Curriculum Developer Private Language Institute Teacher International School English Teacher

Take your first step toward Natural Language Processing with this beginner-to-pro course. Gain an in-depth understanding of deep learning models for NLP with the help of examples. Learn the essential concepts from the absolute beginning with complete unraveling along with examples in Python.

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

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