A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Data science interview questions and answers

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

The Open Source Data Science Masters

📊 Path to a free self-taught education in Data Science!

📚 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,…

10 Weeks, 20 Lessons, Data Science for All!

Python Data Science Handbook: full text in Jupyter Notebooks

Interior Design Dataset - IKEA

A structured collection of notes (mostly, on machine learning) and a Flask app for reading and searching them.