A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Interactive Web Plotting with Bokeh in IPython notebook

Giving LLMs like GPT-4 the ability to plan and execute terminal commands

A Repository consisting resources primarily of the Gate DA and AI

Exploring data and analyzing metrics for user-specific Medium Stats