Practical Series on Machine Learning with Python

Practical series on Machine Learning and Artificial Intelligence

What you'll learn
Understand what machine learning is and how it actually works
Identify the Basic types of Machine Learning (Supervised and Unsupervised)
Understand the Timeline of Machine learning up till now
Identify various Machine learning tools for writing machine learning programs
Data Pre-processing practice coding
Regression: Practice on six types of Regression
Classification: Practice on seven types of classification
Clustering: Hierarchical and K-means Practice
Association Rule Learning: Apriori and Eclat
Reinforcement Learning: Thompson_sampling and Upper_confidence_bound

Requirements
Basic knowledge of Python programming is needed, This course is not for new beginners in Programming
Knowledge of Calculus and mathematics is required
Basic Understanding of Machine Learning
(External resources will be available to acquire the above)

Description
Are you tired of theory-heavy machine learning courses that don’t show you how to build real-world models? The Practical Machine Learning Series is your hands-on guide to understanding, building, and deploying machine learning models—no fluff, just real code and practical examples.In this course, you'll learn the fundamentals of machine learning through practical exercises that walk you step-by-step from data preprocessing to training and evaluating models. We’ll cover supervised and unsupervised learning techniques using popular libraries like scikit-learn, pandas, and matplotlib. You’ll also get a clear breakdown of how to choose the right algorithm for your problem, how to avoid common pitfalls, and how to interpret your results like a pro.By the end of the course, you won’t just know what machine learning is—you’ll know how to use it. Whether you're a beginner programmer or someone looking to transition into data science, this course equips you with the skills you need to build actual projects and boost your portfolio.If you’re ready to stop watching and start building, then this course is for you! We have so many modules to get you into the program.Requirement for the course includes prior knowledge of python, machine learning and mathematics (calculus)Enjoy!

Who this course is for
Developers or students looking for a course focused on practical use of Machine Learning