23823 TEC courses delivered On Demand

Looking to bring your AI knowledge to life in a visually powerful way? Our Hands-on Machine Learning Project – Auto Image Captioning for Social Media Course takes you deep into the fascinating world of machine-generated descriptions. With social media driving more engagement through visuals than ever, this course helps you grasp how AI can generate captions that not only describe but also engage, contextualise, and communicate effectively. The focus is sharply tuned to image captioning technology and its role in today’s media-driven, attention-tight landscape. Expect to work your way through a structured learning journey where you’ll explore the building blocks of machine learning and how these elements are applied in automated image captioning. Whether you're aiming to polish your ML project portfolio or understand how AI is quietly shaping the way content is created and consumed online, this course gives you just the right amount of edge — no gimmicks, no fluff, just what matters. All content is delivered fully online, making it a flexible and accessible way to deepen your understanding of AI-powered communication tools used across social media platforms. Learning Outcomes: Develop an auto image captioning system using machine learning. Preprocess image and caption data. Define and evaluate the model. Deploy your machine learning app on AWS EC2 instance.Gain real-world experience in machine learning app development. The Hands-on Machine Learning Project - Auto Image Captioning for Social Media Platform course is designed to give you a comprehensive understanding of how to develop an auto image captioning system using machine learning. The course covers topics such as importing libraries, preprocessing text and image data, defining and evaluating the model, and deploying your machine learning app on AWS EC2 instance. You'll have access to the caption dataset and image dataset for training and test purposes, providing you with hands-on experience in machine learning app development. This course is perfect for aspiring data scientists, machine learning engineers, and developers who want to gain real-world experience in machine learning app development. With the skills and knowledge gained from this course, you'll be able to create your own auto image captioning system and start a career in the exciting field of machine learning. Hands on Machine Learning Project - Auto Image Captioning for Social Media Course Curriculum Section 01: Introduction Introduction to Course Section 02: Building the Auto Image Captioning Import the Libraries Accessing the Caption Dataset for Training Accessing the Image DataSet for Training Preprocessing the Text Data Pre-Process and Load Captions Data Loading the Captions for Training and Test Data Preprocessing of Image Data Loading Features for Train and Test Dataset Text Tokenization and Sequence Text Data Generators Define the Model Evaluation of Model Test the Model Section 03: Deployment of Machine Learning App Create Streamlit App Streamlit Prediction Test Streamlit App Deploy Streamlit on AWS EC2 Instance How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data scientists. Machine learning engineers. Developers interested in machine learning app development. Anyone interested in the field of machine learning. Professionals looking to upskill in the latest technology. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Data Scientist: £40,000 to £80,000 per year. Machine Learning Engineer: £55,000 to £90,000 per year. Software Developer: £30,000 to £60,000 per year. Artificial Intelligence Developer: £40,000 to £80,000 per year. Computer Vision Engineer: £45,000 to £85,000 per year. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Learning Outcomes Get a thorough understanding of the concepts of interior design and the components that go into successful home styling Learn the techniques required to produce expert design plans and mood boards for home settings Investigate how to employ colour, texture, lighting, and materials to design rooms that are both aesthetically pleasing and useful Recognise the significance of eco-friendly and sustainable design principles in interior architecture Learn how to use design tools and software Get hands-on project management experience, including budgeting, purchasing, and speaking with vendors and contractors Create a professional portfolio that exhibits your ability to design successful solutions for home areas and highlights your design talents Overview Master the art of creating extraordinary yet comforting spaces with the Design and Home Styling Certificate Level 3 course. Students who enrol in the course will get a thorough understanding of the ideas and methods needed to design appealing, practical, and unique residential settings.  This diploma-level course aims to give students the information and abilities required to produce expert design plans, mood boards, and oversee interior design projects from beginning to end. The essential components of design will be examined by the students throughout the course. Students who will successfully complete the Interior Design and Home Styling Certificate Level 3 course will have a professional portfolio that highlights their creative abilities and shows how they can come up with effective design solutions for residential settings.  For those with a passion for design who want to work in interior design, home styling, or similar sectors, this diploma-level course is the best option. Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Upon successful completion of the final assessment, you will be eligible to apply for the Quality Licence Scheme Endorsed Certificate of achievement. This certificate will be delivered to your doorstep through the post for £119. An extra £10 postage charge will be required for students leaving overseas.  CPD Accredited Certificate After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment To successfully finish the course, students must take an online automated multiple-choice exam and achieve a minimum score of 60%. Upon passing the exam, students can apply for a certificate of achievement endorsed by the Quality Licence Scheme. Career path Completing an Interior Design and Home Styling Diploma Level 3 course can open up a range of career opportunities in the UK. Some potential career paths include: Interior Designer: The average annual salary for an interior designer in the UK is £26,000 - £40,000. Home Stager: The average annual salary for a home stager in the UK is £20,000 - £30,000. Set Designer: The average annual salary for a set designer in the UK is £22,000 - £45,000. Exhibition Designer: The average annual salary for an exhibition designer in the UK is £22,000 - £40,000. Course Contents Module 01: Popular Interior Design Styles and How to Use Them Module 02: Design Principles and Elements in Interiors Module 03: Introduction to Colour in Interiors Module 04: Introduction to Space Planning In Interiors Module 05: Textiles and Fabrics for Interiors Module 06: Styling and Staging Interior Spaces

Cyber security is the means of protecting computers, servers, mobile devices, electronic systems, networks, and data from defamatory attacks. It's also identified as information technology security or electronic information security. Janets brings the Diploma in Cyber Security course online to provide you with the materials to dive deep into the most proven and practical methods for protecting vulnerable networks and businesses from cybercrimes. By enrolling in this course, you'll learn about information security audits, assurance, guidelines, standards, and best cybersecurity practices in the industry. Moreover, this cybersecurity course provides a fantastic opportunity for those who are looking to enhance their knowledge and boost their career with a recognised certification. This online cybersecurity course comprises 12 units and it'll take around 9 hours to finish. Besides, it is accompanied by instructional videos, practical illustrations, how-to instructions and advice. Also, you'll have 1-year access to this course that enables you to study at your speed within your comfort zone. Why Choose this Course? By selecting this course, you'll have: Certification (e-certificate upon successful completion) Accessible, educational modules instructed by the experts Flexible study time, learn at your own pace, through your computer, tablet or mobile device Instant feedback through mock tests and multiple-choice assessments 24/7 help desk available from our Customer Service teams Full Teacher Support during weekdays Training on cybersecurity Knowledge about the types of cybersecurity Specialisation in cybersecurity Understanding of cybersecurity jobs Course Design The course is delivered through our e-learning platform and accessible with any internet-connected device. No formal deadlines or teaching schedules are included that aids a flexible study plan.  The experts will teach you via the following: Video tutoring Online study supplies Mock tests Multiple-choice evaluation Certification After completing the course successfully, you'll get an e-certificate. But, if you desire a print copy of the certificate, we can send it to you by post. For this, you will need to pay a minute amount of additional cost, which is £9.99 and PDF Certificate is available at £4.99. Who is this course for? Though it's an advanced course, anyone wanting to gain comprehensive knowledge and inherent experience in the relevant field is suitable for this cybersecurity online course. Therefore, no additional qualification is compulsory to enrol. Besides, professionals from this industry have designed this course that ensures its high quality. This makes the course an excellent opportunity for all students from any academic backgrounds to attain in-depth knowledge on this subject.

Course Overview Learn the Latest Skills | Accredited by CPD | Recognised Certificate | MCQ Based Exam & Tutor Support | Interactive Video Training  The First Aid Training Course is ideal for everyone in the workplace or home. It provides students with the knowledge and assurance to deal with various mishaps and first aid emergencies they might run into. This course equips a first-aider to treat an injured or ill coworker who needs emergency first aid. Additionally, it gives the first-aider the tools necessary to treat a variety of particular illnesses and accidents. What Will You Learn? The basics of first aid include assessing an emergency, how to perform CPR, using first aid kits etc. How to put sick people into the recovery position and perform primary and secondary surveys. How to treat various injuries, including choking, wounds, shock, poisoning, burns and bites, hypothermia, head and eye injuries, fractures, sprains and strains. How to treat various chronic illnesses, including diabetes, asthma, blood pressure, heart attack and allergic reaction. What classes are included in this package? Earn a digital certificate upon successful completion accredited by UK and internationally recognised accredited qualification There are no set schedules, so you can work at your own pace. Our email and live chat specialists are available to assist you 24 hours a day, 7 days a week. On weekdays, you'll have access to a full-time tutor. Learn in a user-friendly, cutting-edge online learning environment. High-quality e-learning study materials Benefit from instant feedback through mock exams and multiple-choice assessments Who Should Take This Course? This training is appropriate for individuals and organizations looking to upgrade or learn new first aid techniques. Since the program covers all the fundamental first aid procedures, there are no prerequisites for taking this course. Career Path Training offered by the First Aid Training Course could potentially benefit a range of roles, but would particularly enhance careers in: Caregivers Parents Teachers Construction Workers Electricians Firefighters Law Enforcement Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessments Assignment Certificate of Achievements After completing the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post.

From business to research, having a solid grasp of Excel Data analysis can open doors of opportunity in various industries. Learn this valuable skill set from the comfort of your home with the Data Analysis In Excel course. This course will introduce you to the ins and outs of Excel data analysis. This Data Analysis In Excel course will help you establish a solid foundation in Excel data analysis. This course will help you pick up the skills to visualise data with charts in Excel. Here, you will also learn about Pivot Tables and Charts. Furthermore, the course will teach you how to work with multiple Workbooks. In addition, you will learn about Lookup factions and how to use them. By the end of this course, you will know the essentials of automating Workbook functionality. This course will assist you in securing effective data analysis skills. In addition, you will receive a QLS-endorsed certificate of achievement. This certificate will enhance your employability in the relevant job market. Join now!  Learning Outcomes Understand the basic principles of data analysis with Excel Learn how to visualise data with Excel charts Build your expertise in using Pivot Tables and Charts Grasp the techniques of working with multiple Worksheets and Workbooks Know the process of automating Workbook functionality Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Upon successful completion of the final assessment, you will be eligible to apply for the Quality Licence Scheme Endorsed Certificate of achievement. This certificate will be delivered to your doorstep through the post for £99. An extra £10 postage charge will be required for students leaving overseas.  CPD Accredited Certificate After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment At the end of the course, there will be an MCQ assessment. In order to pass this exam, you must score at least 60%. When you submit the assessment, it will be examined, and the results will be given to you immediately. Career path This course is designed to help you extant your knowledge and understanding of this sector. After completing the course, you will be able to explore career options such as Data Analyst Research Assistant Researcher Business Analyst

Ever wondered what goes on inside the mind of a criminal? This Criminal Psychology: Criminal Minds Course takes you beneath the surface of criminal behaviour, giving you a sharp insight into the psychological factors that drive unlawful acts. Through gripping case studies, psychological theories, and behavioural analysis, you'll explore how criminal minds operate — from motivations and mental disorders to profiling techniques used by investigators. Each module offers a structured journey into the darker corners of the human psyche, all from a safe academic distance. Whether you're intrigued by serial offenders or fascinated by forensic profiling, this course helps you connect the dots between psychology and crime. It's an eye-opener for those curious about the psychological dynamics behind antisocial behaviour, manipulation, and deviance. You’ll gain theoretical knowledge that not only sharpens your understanding of crime, but also piques your critical thinking — no need for flashing blue lights, just a solid internet connection and a curious mind. Learning Outcomes: Gain a comprehensive understanding of the foundations of criminal psychology, including criminology, forensic psychology, and the types and theories of crime. Develop insights into the psychological makeup of criminal minds, including mental disorders, aggression, violence, and criminal behaviour in children, women, burglars, domestic violence, murderers, serial killers, and rapists. Learn practical skills in criminal psychology, including criminal profiling, interviewing suspects, detecting lies, eyewitness testimony, and expert witness testimony. Understand the criminal justice system's approach to prevention, punishment, rehabilitation, and restoration of justice. Apply knowledge of criminal psychology to real-world scenarios, including criminal investigations, trials, and other aspects of the criminal justice system. Our Criminal Psychology: Criminal Minds course is designed to provide an in-depth understanding of criminal psychology and the factors that contribute to criminal behaviour. Through this course, you will learn about different types of criminal behaviour, including psychopathy and violent behaviour, and gain insight into the criminal mind. Our expert instructors will guide you through the different techniques used to analyse crime scenes and evidence, as well as criminal profiling. This course is perfect for anyone interested in criminal justice, law enforcement, or psychology. It's designed to provide a solid foundation in criminal psychology and equip you with the knowledge and skills necessary to understand and prevent criminal activity. Whether you're looking to pursue a career in law enforcement or criminal justice or are simply interested in understanding the psychology of criminal behaviour, this course is the perfect fit for you. Criminal Psychology : Criminal Minds Course Curriculum Section 01: Foundations of Criminal Psychology Programme Overview Download Course Manual Introduction to Criminology Introduction to Criminal Psychology Introduction to Forensic Psychology Types of Crime Theories of Crime Section 02: Psychology of Criminal Minds Psychology of Criminal Children Psychology of Criminal Women Mental Disorders and Crime Psychology of Aggression and Violence Psychology of Burglars Psychology of Domestic Violence Psychology of Murderers Psychology of Serial Killers Psychology of Rapists Section 03: Practical Criminal Psychology Criminal Profiling Interviewing Suspects Structured interviews - Example Script Detecting Lies Eye-Witness Testimony Expert-Witness Testimony Prevention, Punishment, Rehabilitation, and Restoration of Criminal Justice How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Law enforcement professionals seeking to deepen their understanding of criminal behaviour. Criminal justice professionals looking to improve their knowledge of criminal psychology. Psychology students interested in exploring the field of criminal psychology. Anyone interested in understanding the psychology of criminal behaviour. Individuals looking to pursue a career in law enforcement or criminal justice. Career path Criminal Psychologist - £25,000 to £60,000 per year Police Officer - £20,000 to £45,000 per year Private Investigator - £18,000 to £40,000 per year Probation Officer - £22,000 to £36,000 per year Forensic Psychologist - £25,000 to £65,000 per year. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Teaching is a hugely rewarding profession, and teaching English as a foreign language (TEFL), or to speakers of other languages (TESOL) is a very fulfilling career path to take. It is estimated that two billion people will be learning or speaking English by 2020, so make the most of this TESOL course now, and fast track your career. This TESOL (TEFL) Trainer Certification has been designed by an expert TEFL trainer who has divided the course into user-friendly modules for your convenience. You will learn all about teaching English to non-native speakers – from planning lessons to classroom management and finding work. You will also explore strategies and methods for teaching the four language skills – listening, speaking, reading and writing. Learning Outcomes Deliver engaging English language lessons using diverse teaching approaches and methodologies. Analyse and apply linguistic principles to enhance language teaching effectiveness. Demonstrate proficiency in teaching all language skills: speaking, listening, reading, and writing. Develop comprehensive lesson plans and pedagogical strategies tailored to learners' needs. Manage classroom dynamics effectively to create a conducive learning environment. Implement innovative techniques for teaching English language effectively in diverse contexts. Evaluate learners' progress and provide constructive feedback to support their language development. Demonstrate proficiency in planning and executing language teaching sessions with confidence. Navigate the process of securing employment opportunities in the field of English language teaching. Provide mentorship and guidance to aspiring English language educators entering the profession. Why choose this course Affordable, Accessible, informative and well-structured study materials Earn a globally recognised accredited qualification Study in your own time, at your own pace, through any device Benefit from feedback through mock exams and multiple-choice assessments Excellent career advancement/career switch opportunities Get 24/7 help or advice from our email and live chat teams Who is this course for Experienced English language teachers seeking to enhance their pedagogical skills and advance in their careers. Education professionals transitioning into English language teaching from other disciplines or specialisations. Individuals aspiring to become teacher trainers or TESOL/TEFL course instructors. Language school managers or administrators responsible for training and professional development of teaching staff. Academic coordinators involved in curriculum development and language programme management. Entry requirements This course is available to learners of all academic backgrounds, but you must be 16 or above to undertake the qualification. Apart from that, all you need is an internet connection, a good understanding of English and a passion for learning. Certification CPD Accredited Certificate After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Career path TESOL/TEFL Trainer Teacher Training Coordinator Curriculum Developer for TESOL/TEFL Programmes Teacher Mentor or Supervisor Academic Manager in Language Schools or Institutes Education Consultant in Language Teaching and Learning TESOL/TEFL Course Director or Manager Educational Materials Writer for Language Teaching Resources Course Content Introduction to Teaching English Linguistics Basics Working With a Variety of Approaches Teaching Speaking Teaching Listening Teaching Reading Teaching Writing Planning Pedagogy Planning Lessons Managing Classrooms Getting a job

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: 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 the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. 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. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. 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 00:04:00 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 Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 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 00:06:00 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 - Data Science & Machine Learning with Python 00:00:00

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