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Day 3 – Supervised Learning: Classification

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Section outline

◄Day 2 – Supervised Learning: Regression
►Day 4 – Unsupervised Learning & NLP

    • Decision Trees, Random Forests

    • Logistic Regression, Support Vector Machines

    • Evaluation: Confusion Matrix, ROC-AUC

    • Lab: Customer segmentation, Credit risk analysis, UCI wine dataset

◄Day 2 – Supervised Learning: Regression
►Day 4 – Unsupervised Learning & NLP

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