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Day 2 – Supervised Learning: Regression

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Section outline

◄Day 1 – ML Foundations & Spark Introduction
►Day 3 – Supervised Learning: Classification

    • Linear, Multiple Linear Regression

    • Ridge, Lasso, ElasticNet, Cross Validation

    • Gradient Boosting for Regression

    • Lab: Power demand prediction, Housing price regression

◄Day 1 – ML Foundations & Spark Introduction
►Day 3 – Supervised Learning: Classification

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