Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

Why we included this project

Anyone learning machine learning has hit the wall of scattered Medium posts, official docs, and Kaggle notebooks. This repo collects them into one place, organized by framework and topic, so instead of trusting search results you can work through a structured set of notebooks and study materials that an experienced practitioner has grouped and vetted. It covers the usual suspects like PyTorch, TensorFlow, Keras, scikit-learn, and pandas, then reaches into industry-specific areas such as healthcare, energy, automotive, and policy, which helps when you want examples tied to real domains rather than toy datasets. Treat it as a reading and study map, not software you deploy.