Machine Learning Full Course with Scikit‑Learn | Math + Python + AI | Sagar Chouksey

Description:

Masters In Data-Analytics with GenAI (Super 30 Batch) - Python for Data Science - Get 700+ Ready-made Projects Code👇 Resources - This is your one-stop complete course to learn Machine Learning from scratch - ideal for aspiring Data Scientists, AI Engineers & Python Developers. In this 4-hour complete machine learning tutorial, you'll learn everything required to master Machine Learning, AI fundamentals, and Scikit-Learn, starting from the math foundations all the way to real-world coding. Timestamps: 5:29 – 44:04 → Maths Required for Machine Learning 44:04 – 1:05:41 → Foundation of Machine Learning (AI vs ML vs DL, Concepts) 1:05:41 – 1:14:57 → Core Machine Learning Topics (X/y, Models, Predictions) 1:14:57 – 2:05:11 → Data Preprocessing (Missing Data, Encoding, Scaling, Splitting) 2:05:11 – 2:59:19 → Supervised Machine Learning (Regression, Classification, KNN, Decision Trees) 2:59:19 – 3:34:00 → Model Evaluation & Metrics (Accuracy, Precision, Recall, F1, MAE, MSE, RMSE) 3:34:00 – 4:13:19 → Student Score Prediction Project (Start-to-Finish Walkthrough) Tools Used: Python, Scikit-Learn, Numpy, Pandas, Matplotlib Skills You’ll Gain: ML pipeline mastery (preprocessing to deployment) Understanding AI/ML/DL differences Math foundations for ML success Confidence to tackle real-world ML challenges Other Data-Science Lectures: Complete Python (Beginner to Advanced) : Matplotlib for Data Visualisation - Database Using SQL for Data Science - Pandas Library for Data Science : Numpy Library for Data Science : Flask Framework for Data Science - Python Project for Beginners - PowerBI Tutorial - Advanced Excel - OpenCV Computer Vision - Connect with us: LinkedIn - Instagram - Telegram - Youtube - Website - #MachineLearning #PythonForML #ScikitLearn #AI #MathForML #DataScienceCourse #MLProjects #CompleteMLCourse