Explore foundational and essential topics in AI/ML with these curated notebooks. Each notebook is well-commented and documented to help you follow and understand the concepts with ease. These notebooks can be run directly in your browser, providing an interactive and hands-on learning experience.
Explore the foundational XOR problem in machine learning and solve it using a neural network in PyTorch.
Classify iris flowers into one of three species using a neural network trained on the Iris dataset.
Predict the median value of homes in Boston neighborhoods using a regression model trained on the Boston Housing dataset.
Build a classical Item-Based Collaborative Filtering recommendation system using the MovieLens dataset.
Recognize handwritten digits using a neural network trained on the MNIST dataset.