Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.

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

• UpdatedNov 26, 2025
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Apache Superset is a Data Visualization and Data Exploration Platform

• UpdatedDec 17, 2025
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scikit-learn: machine learning in Python

• UpdatedDec 17, 2025
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Deep Learning for humans

• UpdatedDec 17, 2025
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

• UpdatedDec 17, 2025
• Python

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

• UpdatedAug 18, 2024
• Jupyter Notebook

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

• UpdatedDec 17, 2025
• Python

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

• UpdatedDec 17, 2025
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Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

• UpdatedDec 17, 2025
• Python

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

• UpdatedDec 17, 2025
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💫 Industrial-strength Natural Language Processing (NLP) in Python

• UpdatedNov 27, 2025
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10 Weeks, 20 Lessons, Data Science for All!

• UpdatedNov 26, 2025
• Jupyter Notebook

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

• UpdatedDec 17, 2025
• Python

Roadmap to becoming an Artificial Intelligence Expert in 2022

• UpdatedSep 12, 2025
• JavaScript

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

• UpdatedAug 1, 2025

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

• UpdatedOct 15, 2023
• Python

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

• UpdatedMar 20, 2024
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📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

• UpdatedJul 18, 2024

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

• UpdatedJun 25, 2024
• Jupyter Notebook

📝 An awesome Data Science repository to learn and apply for real world problems.

• UpdatedDec 12, 2025