A machine learning project that trains a Random Forest classifier on the Iris dataset to predict flower species with 100% accuracy using scikit-learn.

Hands‑on Jupyter notebooks for learning core ML concepts (overfitting, underfitting) and TensorFlow — runnable in Colab.

ML from zero to hero — one concept, one model, one day at a time ...

🎬 Netflix-style movie recommender using TF-IDF, Cosine Similarity & Nearest Neighbors on 45K+ movies. Features live TMDB poster fetching and an interactive Streamlit web app.

Handwritten digit recognition with Neural Networks | ~98% accuracy