Introduction to Machine Learning
Explore the fundamentals of ML, key concepts, and real‑world applications.
Linear Regression Explained
A deep dive into linear regression, assumptions, and implementation with Python.
K‑Means Clustering in Practice
Learn how to cluster data effectively using K‑Means and evaluate its performance.
Neural Network Basics
Understand the architecture of neural networks and how to train them.
Transformers: The New Frontier in NLP
An overview of transformer architectures and their impact on natural language processing.