Module 3: ML for Classification

In module 3 of Machine Learning for Classification, I learned how to:
🔷 Train and use logistic regression models.
🔷Encode categorical variables.
🔷Measure and interpret feature importance.
🔷Select useful features.
🔷 Interpret a model's predictions.

Module 4 covers evaluation metrics for classification.

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