03 - Decision Trees and Random Forest: Classification and Regression
Discover decision trees (interpretable, easy to understand) and random forests (ensemble of trees fo…
Master the 2 most important ML algorithms: linear regression for numerical predictions and logistic regression for binary classification. Learn essential math, Python implementation with scikit-learn, evaluation metrics, and how to recognize and fix overfitting issues.
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Master the 2 most important ML algorithms: linear regression for numerical predictions and logistic regression for binary classification. Learn essential math, Python implementation with scikit-learn, evaluation metrics, and how to recognize and fix overfitting issues.
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