🎯 **Key Topics Covered:**

- Introduction to Machine Learning

- Types of Machine Learning (Supervised, Unsupervised, Reinforcement)

- Linear and Logistic Regression

- Decision Trees & Random Forest

- Support Vector Machines (SVM)

- Neural Networks & Deep Learning basics

- Feature Engineering & Model Evaluation

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