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Introduction to Machine Learning
02 Classical ML 5
Decision Trees Random Forests Gradient Boosting Module Review: Classical ML
03 Model Evaluation 5
Bias-Variance Tradeoff Evaluation Metrics Cross-Validation Module 03: Model Evaluation Module Review: Model Evaluation
04 Feature Engineering 5
Feature Scaling Categorical Encoding Feature Selection Module Review: Feature Engineering
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Introduction to Machine Learning

Machine Learning Last updated: Feb 27, 2026

Learn about Documentation with interactive visualizations and depth.

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Classical ML

Learn about Classical ML with interactive visualizations and depth.

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Module 02 Available

Feature Engineering

Master Feature Engineering: transform raw data into powerful features. Learn Scaling, Encoding, and Selection with interactive visualizations and Python code.

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