Lectures related to Introduction to Machine Learning: Basics and Examples

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Covers the basics of machine learning, including supervised and unsupervised techniques, linear regression, and model training.

Logistic Regression: Fundamentals and Applications

Explores logistic regression fundamentals, including cost functions, regularization, and classification boundaries, with practical examples using scikit-learn.