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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

Apache Superset is a Data Visualization and Data Exploration Platform

scikit-learn: machine learning in Python

Deep Learning for humans

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Learn how to develop, deploy and iterate on production-grade ML applications.

Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Streamlit — A faster way to build and share data apps.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

10 Weeks, 20 Lessons, Data Science for All!

500 AI Machine learning Deep learning Computer vision NLP Projects with code

💫 Industrial-strength Natural Language Processing (NLP) in Python

Statsmodels: statistical modeling and econometrics in Python

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.