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Forex trading basics, including a market overview, types of Forex traders, the advantages and risks of trading Forex, are covered in this course.

Level 3 Emergency First Aid at Work The Level 3 Emergency First Aid at Work Diploma is awarded by EUKET. This bundle on first aid at work covers expert tips and techniques for emergency first aid at work situations. This program aligns with the guidelines introduced by the HSE in October 2013 and fulfils the standards of the First Aid at Work (First Aid) Regulations 1981, including the updates made in 2017. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Level 3 Emergency First Aid at Work Course Benefits: Master the art of emergency planning, a fundamental aspect of first aid at work. Address unconscious casualties effectively, a vital skill in first aid at work scenarios. Gain expertise in treating Heart Attacks, Choking, Bleeding, Shock, Asthma, and Anaphylaxis-key treatments in first aid at work. Become well-versed in the laws and regulations that govern first aid at work. Assess critical situations and create first aid at work action plans.

Diploma in Psychology and Counselling Level 1 Explore the fundamentals of Psychology and Counselling, delving into Counselling Basics and mastering Coping Mechanisms and Strategies. Dive deep into the Psychoanalytical Approach, hone your Communication skills in Psychology and Counselling, and gain valuable insights into self-awareness while addressing Common Problems in this dynamic field. Learning Outcomes: Define key concepts in Psychology and Counselling. Apply coping mechanisms and strategies in real-life situations. Analyze the Psychoanalytical Approach in Psychology and Counselling. Demonstrate effective communication skills in the context of Psychology and Counselling. Evaluate the importance of self-awareness in Psychology and Counselling. Identify common problems encountered in Psychology and Counselling. Utilize problem-solving techniques in Psychology and Counselling scenarios. Discuss ethical considerations in Psychology and Counselling practice. Create effective treatment plans in Psychology and Counselling. Analyze current trends and developments in the field of Psychology and Counselling. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Diploma in Psychology and Counselling Level 1 Course Syllabus Counselling Basics: Acquire foundational knowledge of counselling principles and techniques, including active listening, empathy, and establishing a therapeutic relationship. Coping Mechanisms and Strategies: Explore various coping mechanisms and strategies used in psychology and counseling to help individuals deal with stress, trauma, and emotional challenges. Psychoanalytical Approach: Gain insights into the psychoanalytical approach to psychology and counselling, including the study of unconscious processes and the role of the therapist. Communication in Psychology and Counselling: Develop effective communication skills crucial for psychologists and counselors when interacting with clients and facilitating positive change. Understanding Self-Awareness: Reflect on the importance of self-awareness for professionals in psychology and counselling, emphasising personal growth and self-reflection. Common Problems in Psychology and Counselling: Identify and address common psychological issues and challenges encountered in counselling practice, equipping you to provide effective support and guidance.

Food Hygiene Level 1: Food Allergy Awareness In "Food Hygiene Level 1: Food Allergy Awareness," gain a comprehensive understanding of Food Hygiene as it pertains to food allergies. Learn the nuances of Food Hygiene protocols for allergens and enhance your Food Hygiene skills in providing safe, allergen-aware environments. Learning Outcomes: Explain Food Hygiene in allergy contexts. Identify allergens via Food Hygiene protocols. Apply Food Hygiene to allergen safety. Recognise allergic reactions through Food Hygiene. Evaluate cross-contamination in Food Hygiene. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Food Hygiene Level 1: Food Allergy Awareness Course Syllabus Allergy Awareness: Elevate Food Hygiene practices in allergy awareness, ensuring consumer safety through effective Food Hygiene measures. Basics of Allergens: Master Food Hygiene protocols to accurately identify allergen sources, fortifying your Food Hygiene expertise. Allergen Guidance: Apply Food Hygiene standards when labeling allergens and disseminate this information with the precision expected in Food Hygiene. Reactions and Treatments: Use Food Hygiene measures to promptly recognize allergic symptoms and administer treatments consistent with Food Hygiene guidelines. Cross-Contamination: Assess and mitigate Food Hygiene risks associated with cross-contamination, and implement Food Hygiene procedures to avoid such incidents. Risk Assessment for Allergens: Conduct comprehensive risk assessments for allergens, applying Food Hygiene protocols to identify and mitigate risks.

Pest Control in Food Business Level 1 Dive into the fundamentals of pest control in the food industry, explore the crucial link between HACCP and pest control, learn effective strategies for pest control in kitchens, and discover the essentials of planning pest control for your business & maintaining meticulous pest control documentation and record keeping. Learning Outcomes: Understand the fundamentals of pest control in food business. Integrate pest control practices into HACCP systems effectively. Implement pest control measures specific to kitchen environments. Develop a comprehensive pest control plan for business. Utilise appropriate protective clothing and equipment in pest control. Maintain accurate pest control documentation and records. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Pest Control in Food Business Level 1 Course Syllabus Pest Control in the Food Industry 101: Gain a comprehensive understanding of the fundamentals of pest control in the context of the food business, ensuring food safety and compliance. HACCP & Pest Control: Explore the critical relationship between Hazard Analysis and Critical Control Points (HACCP) principles and effective pest control measures, safeguarding food hygiene. Pest Control in Kitchens: Learn specialized techniques for pest control in commercial kitchens, preventing infestations and contamination risks. Pest Control Planning for Business: Develop strategic pest control plans tailored to your food business, addressing unique challenges and regulatory requirements. Protective Clothing and Equipment in Pest Control: Understand the importance of personal protective equipment (PPE) and specialized gear in effective pest control practices. Pest Control Documentation and Record Keeping: Master the art of meticulous documentation and record-keeping in pest control, ensuring compliance and continuous improvement.

Elevate your safeguarding skills to a professional level with our Level 3 course focused on Safeguarding Children and Vulnerable Adults. Learn to identify signs of abuse, understand legal frameworks, and master the protocols for effective reporting and communication. Become a cornerstone in the protection and welfare of society’s most vulnerable.

Anyone who owns or works in a food business and deals with food or surfaces that might touch food is called a Food Handler. Food handlers must receive Food Hygiene and Safety training, and this Food handlers course will teaches you how to understand Food Hygiene and Safety hazards, avoid cross-contamination and how to manage allergens. To ensure Food Hygiene and Safety and prevent foodborne illnesses, it's crucial to understand and abide by hygiene regulations when handling food. Food Hygiene and Safety is paramount, and food handlers play a significant role in maintaining Food Hygiene and Safety by following proper procedures. Therefore, it's critical that we recognize the importance of our role in promoting Food Hygiene and Safety and preventing illnesses. In a food business, people who handle food may do lots of different tasks like making, cooking, serving, and storing food. They might also work in making, processing, delivering, or preserving food. Food Hygiene and Safety training is crucial in all these activities to keep food safe for everyone to eat. Key Features: This Food Handlers Certificate Course is CPD Certified Free Certificate Developed by Specialist Lifetime Access Course Curriculum Module 01: Introduction to Food Hygiene and Safety Module 02: Foodborne Microorganisms & Contamination Module 03: Time and Temperature Controls Module 04: Safe Food Handling Procedures Module 05: Proper Food Storage Module 06:Food Hygiene and Safety for Specific Food Types Module 07: Allergen Awareness and Management Module 08: Equipment Sanitation & Maintenance Module 09: Personal Hygiene Protocol Module 10: Cleaning and Sanitizing Procedures Module 11: Foodborne Illnesses and Symptoms Module 12: HACCP Principles & Implementation Module 13:Food Hygiene and Safety Regulations in the US Module 14:Food Hygiene and Safety Audits & Inspections Learning Outcomes Attain mastery in Food Hygiene and Safety principles for optimal protection. Implement effective strategies to maintain Food Hygiene and Safety standards. Develop proficiency in handling Food Hygiene and Safety protocols in diverse settings. Demonstrate comprehensive knowledge of Food Hygiene and Safety regulations. Apply critical thinking to assess and address Food Hygiene and Safety risks. Utilize advanced techniques to enhance Food Hygiene and Safety practices. Certification After completing this Food Handlers Certificate course, you will get a free Certificate. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals seeking to specialize in Food Hygiene and Safety management, ensuring mastery of Food Hygiene and Safety principles. Professionals aiming to advance their career prospects in the food industry by acquiring expertise in Food Hygiene and Safety practices. Aspiring entrepreneurs planning to establish food-related businesses and requiring comprehensive knowledge of Food Hygiene and Safety regulations. Restaurant owners committed to upholding impeccable Food Hygiene and Safety standards in their establishments. Students pursuing a career in food service or hospitality management and desiring expertise in Food Hygiene and Safety protocols. Career path Food Hygiene and Safety Consultant for Bakeries - £24K to 35K/year Regulatory Compliance Officer in Food Industry - £20K to 30K/year Bakery Health and Safety Coordinator - £22K to 35K/year Food Inspection Officer in Local Authority Quality Assurance Technician - £20K to 30K/year Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Anyone who owns or works in a food business and deals with food or surfaces that might touch food is called a Food Handler. Food handlers must receive Food Hygiene and Safety training, and this Food handlers course will teaches you how to understand Food Hygiene and Safety hazards, avoid cross-contamination and how to manage allergens. To ensure Food Hygiene and Safety and prevent foodborne illnesses, it's crucial to understand and abide by hygiene regulations when handling food. Food Hygiene and Safety is paramount, and food handlers play a significant role in maintaining Food Hygiene and Safety by following proper procedures. Therefore, it's critical that we recognize the importance of our role in promoting Food Hygiene and Safety and preventing illnesses. In a food business, people who handle food may do lots of different tasks like making, cooking, serving, and storing food. They might also work in making, processing, delivering, or preserving food. Food Hygiene and Safety training is crucial in all these activities to keep food safe for everyone to eat. Key Features: This Food Handlers Certificate Course is CPD Certified Free Certificate Developed by Specialist Lifetime Access Course Curriculum Module 01: Introduction to Food Hygiene and Safety Module 02: Foodborne Microorganisms & Contamination Module 03: Time and Temperature Controls Module 04: Safe Food Handling Procedures Module 05: Proper Food Storage Module 06:Food Hygiene and Safety for Specific Food Types Module 07: Allergen Awareness and Management Module 08: Equipment Sanitation & Maintenance Module 09: Personal Hygiene Protocol Module 10: Cleaning and Sanitizing Procedures Module 11: Foodborne Illnesses and Symptoms Module 12: HACCP Principles & Implementation Module 13:Food Hygiene and Safety Regulations in the US Module 14:Food Hygiene and Safety Audits & Inspections Learning Outcomes Attain mastery in Food Hygiene and Safety principles for optimal protection. Implement effective strategies to maintain Food Hygiene and Safety standards. Develop proficiency in handling Food Hygiene and Safety protocols in diverse settings. Demonstrate comprehensive knowledge of Food Hygiene and Safety regulations. Apply critical thinking to assess and address Food Hygiene and Safety risks. Utilize advanced techniques to enhance Food Hygiene and Safety practices. Certification After completing this Food Handlers Certificate course, you will get a free Certificate. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals seeking to specialize in Food Hygiene and Safety management, ensuring mastery of Food Hygiene and Safety principles. Professionals aiming to advance their career prospects in the food industry by acquiring expertise in Food Hygiene and Safety practices. Aspiring entrepreneurs planning to establish food-related businesses and requiring comprehensive knowledge of Food Hygiene and Safety regulations. Restaurant owners committed to upholding impeccable Food Hygiene and Safety standards in their establishments. Students pursuing a career in food service or hospitality management and desiring expertise in Food Hygiene and Safety protocols. Career path Food Hygiene and Safety Consultant for Bakeries - £24K to 35K/year Regulatory Compliance Officer in Food Industry - £20K to 30K/year Bakery Health and Safety Coordinator - £22K to 35K/year Food Inspection Officer in Local Authority Quality Assurance Technician - £20K to 30K/year Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Level 7 QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

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