Python ML Course

This course introduces students to machine learning (ML) using Python. Beginners will learn about data preprocessing, linear regression, decision trees, and clustering algorithms. Intermediate topics include model evaluation, hyperparameter tuning, and working with libraries such as Scikit-learn and XGBoost. The course also covers time series forecasting and unsupervised learning techniques. Advanced students will learn deep learning concepts, neural networks, and reinforcement learning. By the end, learners will be able to develop, evaluate, and fine-tune machine learning models for various applications.