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

All Algorithms implemented in Python

LaTeX Repository for the CUCD

Tutorial sobre scikit-learn completo

Lectures on scientific computing with python, as IPython notebooks.

The official Linux Journey (formerly linuxjourney.com) source repository is maintained by LabEx.

Python for engineers

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

Lectures on scientific computing with python, as IPython notebooks.

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Instant access to many datasets in 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,…

Peer Assessment 1 for Reproducible Research

Repository for Programming Assignment 2 for R Programming on Coursera

Rmd source files for the HarvardX series PH525x

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

Code of the IPython Minibook, 2nd edition (2015)

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

100 days of algorithms

A collection of various awesome lists for hackers, pentesters and security researchers

This is the code for "How to Make a Prediction - Intro to Deep Learning #1' by Siraj Raval on YouTube

Compiled and pretty version of labs

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

🎓 A collection of interactive courses for the swirl R package.

The "Python Machine Learning (1st edition)" book code repository and info resource

Interactive Web Plotting with Bokeh in IPython notebook

Python Data Science Handbook: full text in Jupyter Notebooks