Foundations of Machine Learning

We are delighted to extend an invitation to our upcoming “Machine Learning With Python” workshop series by Rahat Bhatia, a comprehensive exploration designed to equip you with fundamental knowledge and practical skills in the field of machine learning. Here are the topics for the first session:

Foundations of Machine Learning:

Types: Supervised Learning, Unsupervised Learning, Reinforcement Learning

Key Concepts: Data Preparation, Training Data, Testing Data, Model Building, Parameters, Loss Functions, Accuracy, Precision, Recall, F1-score.

Why You Should Attend:

Relevance to All Majors: ML enriches understanding across diverse fields.

Problem Solving: ML algorithms as powerful tools.

Future Impact: Explore ML’s role in shaping the future.

Additional Info:

No prerequisite knowledge of any programming language is needed.

All algorithms will be implemented in Python, and everything will be discussed from scratch.

Registration: Don’t miss out! Register for the workshop using

Requirements: Bring your laptop for active participation in hands-on coding sessions.

Contact Information: Questions? Feel free to reach out to

Time: Every Friday at 3-5 PM from Feb 16th to March 1st

Location: Catalyst Building, Room 216