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This course will take you through the fundamental concepts of machine learning (ML) and artificial intelligence (AI). By the end of this course, you will be ready to dive into the advanced concepts of ML.

Implement machine learning-based clustering and classification in Python for pattern recognition and data analysis

A code-oriented interactive course that will help you build a solid foundation that is essential to excel in all areas of computer science, specifically data science and machine learning. We will apply all concepts through code and focus on the concepts that are more useful for data science, machine learning, and other areas of computer science.

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00

Python for Data Science and Machine Learning Bootcamp online course is suitable for anyone interested in learning Python for data science and machine learning. It is especially ideal for aspiring data scientists and professionals seeking to enhance their data analysis skills.

The course covers data science and machine learning with R.

This course starts with the basics of data science and gradually moves towards explaining the concepts of machine learning and various data science algorithms.

This course will be mainly focusing on machine learning algorithms. Throughout this course, we are preparing our machine to make it ready for a prediction test.

If you aim to enhance your Machine Learning & Artificial Intelligence skills, our comprehensive Machine Learning & Artificial Intelligence course is perfect for you. Designed for success, this Machine Learning & Artificial Intelligence course covers everything from basics to advanced topics in Machine Learning & Artificial Intelligence. Each lesson in this Machine Learning & Artificial Intelligence course is crafted for easy understanding, enabling you to become proficient in Machine Learning & Artificial Intelligence. Whether you are a beginner or looking to sharpen your existing skills, this Machine Learning & Artificial Intelligence is the ideal choice. With our Machine Learning & Artificial Intelligence exclusive bundle, you will get a PDF Certificate, PDF Transcript and Digital Student ID Card (worth £50) Absolutely FREE. Courses are Included in This Machine Learning & Artificial Intelligence Bundle: Course 01: Machine Learning Basics Course 02: Hands-on Machine Learning Project - Auto Image Captioning for Social Media Course 03: Machine Learning with Python Course Course 04: Project on Deep Learning - Artificial Neural Network Course 05: Data Science & Machine Learning with R Training Course 06: ChatGPT for Marketing and Productivity with AI Tools Learning Outcomes of this Machine Learning & Artificial Intelligence Understand the foundational concepts of machine learning and its applications. Gain practical experience through hands-on machine learning projects and tools. Master Python programming for effective machine learning applications and tasks. Develop deep learning models using artificial neural networks effectively. Apply data science techniques using R for comprehensive data analysis. Learn to utilise AI tools for marketing and enhancing productivity in business. Why Choose Our Course? FREE Machine Learning & Artificial Intelligence certificate accredited Get a free student ID card with Machine Learning & Artificial Intelligence Training Get instant access to this Machine Learning & Artificial Intelligence course. Learn Machine Learning & Artificial Intelligence from anywhere in the world Machine Learning & Artificial Intelligence is affordable and simple to understand This bundle is an entirely online, interactive lesson with voiceover audio Lifetime access to the Machine Learning & Artificial Intelligence course materials The Machine Learning & Artificial Intelligence comes with 24/7 tutor support So enrol now in this Machine Learning & Artificial Intelligence Today to advance your career! Start your learning journey straightaway with Machine Learning & Artificial Intelligence! This Machine Learning & Artificial Intelligence's curriculum has been designed by Machine Learning & Artificial Intelligence experts with years of Machine Learning & Artificial Intelligence experience behind them. The Machine Learning & Artificial Intelligence course is extremely dynamic and well-paced to help you understand Machine Learning & Artificial Intelligence with ease. You'll discover how to master Machine Learning & Artificial Intelligence skills while exploring relevant and essential topics. *** Course Curriculum *** Course 01: Machine Learning Basics Section 01: Introduction Section 02: Regression Section 03: Predictors Section 04: Minitab Section 05: Regression Trees Section 06: Binary Logistics Regression Section 07: Classification Trees Section 08: Data Cleaning Section 09: Data Models Section 10: Learning Success Course 02: Hands-on Machine Learning Project - Auto Image Captioning for Social Media Section 01: Introduction Section 02: Building the Auto Image Captioning Section 03: Deployment of Machine Learning App Assessment Process of Machine Learning & Artificial Intelligence Once you have completed all the courses in the Machine Learning & Artificial Intelligence bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 60 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Machine Learning & Artificial Intelligence bundle is suitable for everyone. Requirements You will not need any prior background or expertise in this Machine Learning & Artificial Intelligence. Career path This Machine Learning & Artificial Intelligence bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - £29 If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate

Discover the power of data science and machine learning with Python! Learn essential techniques, algorithms, and tools to analyze data, build predictive models, and unlock insights. Dive into hands-on projects, from data manipulation to advanced machine learning applications. Elevate your skills and unleash the potential of Python for data-driven decision-making.