Introduction to Machine Learning with Python

​Course Description:

​This course provides a hands-on introduction to machine learning using Python. Designed for beginners, the course will walk you through the fundamental concepts, algorithms, and techniques used in machine learning. By the end of the course, participants will have gained the knowledge and skills to start building basic machine learning models, understand key concepts such as data preprocessing, model evaluation, and use libraries like scikit-learn to implement their own algorithms. No prior experience with machine learning is required, though basic programming knowledge in Python is recommended.

Sessions:
1st session: Introduction to Machine Learning (including the ML life cycle ) and Data Preprocessing

​2nd session : Supervised Learning - Regression and Classification

​3rd session : Unsupervised Learning- clustering and MBA (market basket analysis)