Machine Learning A-Z: Learn Python, R, and ML algorithms with real projects from industry experts—for free!.Python For Data Science: This beginner-friendly course uses Python to teach ML with Pandas, Numpy, and Scikit-learn..Deep Learning Basics: In this short course, I will cover the fundamentals of neural networks and activation functions with TensorFlow..AI For Everyone: A non-technical guide to AI and ML concepts from a business and project management perspective..Hands-On ML Projects: Work on real datasets to practically apply ML models, regressions, and classifiers..ML Crash Course: A concise introduction to key ML topics like supervised learning, KNN, and decision trees..Mathematics for ML: To understand ML deeply, learn core linear algebra, statistics, and probability..ML Using Scikit-Learn: It focuses entirely on the Scikit-learn pipeline, which includes model fitting, evaluation, and hyperparameter tuning..Final Pick: Choose based on skill level and goals—every course here helps build strong ML foundations..Read More Stories.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp