Getting Started with ML Algorithms (Numpy Implementation)

For our very first meetup, we’ll dive into the foundations of Machine Learning by revisiting some of the most important algorithms and exploring how to implement them from scratch using Numpy.

What we’ll cover:
• Linear Regression and Logistic Regression
• k-Nearest Neighbors (kNN)
• How these algorithms are tested in interviews and how to explain them clearly

This session is designed to help you strengthen your ML fundamentals, practice hands-on coding, and build confidence in explaining your thought process—skills that are essential for AI/ML interviews.