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

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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

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