This repository contains beginner-friendly machine learning projects implemented in Python using libraries like scikit-learn and Keras. Projects cover fundamental ML techniques including topic modeling with LDA, neural networks on MNIST, spam classification with Naive Bayes, clustering algorithms like K-means and hierarchical clustering, and regression methods. It serves as a practice resource for learning core ML concepts through working code examples.