Explore live open-source projects and AI models.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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.

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A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

All course materials for the Zero to Mastery Machine Learning and Data Science course.

This repository is a compilation of free resources for learning Data Science.

Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 repository.

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

Debugging, monitoring and visualization for Python Machine Learning and Data Science