Master Artificial Intelligence
One Algorithm at a Time

Free, open-source tutorials from Python basics toward ML and deep learning—with in-browser demos on the Supervised and Unsupervised pages (ONNX models run locally in your browser on GitHub Pages).

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Python Fundamentals

Master the basics of effective Python programming for Data Science.

Machine Learning

Understand core algorithms from regression to clustering with interactive visualizations.

Deep Learning

Dive into Neural Networks, Computer Vision, and NLP implementations.

Your Learning Path

Nine modules, zero to AI — follow the path or jump to any topic.

1

Python Basics

Variables, functions, OOP & data structures
2

ML Basics

NumPy, Pandas, Matplotlib & Scikit-learn
3

Supervised Learning

KNN, Decision Trees, Regression — live demos
4

Unsupervised Learning

K-Means clustering & PCA dimensionality reduction
5

Deep Learning

Neural networks, backpropagation & PyTorch
6

Computer Vision

CNNs, convolution & colour classifier demo
7

Natural Language Processing

Word2Vec, n-gram models & Gensim
8

Time Series

Stationarity, ARIMA & LSTM forecasting
9

Recommendation Systems

Content-based filtering & collaborative KNN
Ishani Kathuria

Ishani Kathuria

Data Science Enthusiast | AI Developer

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