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2015

Public material for CS109

2015lab4

Lab for Linear and Logistic Regression, SciKit Learn

awesome-datascience

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

bokeh

Interactive Web Plotting for Python

bostonml

courses

fast.ai Courses

ctci-6th-edition

Cracking the Coding Interview 6th Ed. Solutions

d3

A JavaScript visualization library for HTML and SVG.

dat8

General Assembly's Data Science course in Washington, DC

dataset-examples

Samples for users of the Yelp Academic Dataset

datasharing

The Leek group guide to data sharing

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

echarts

A powerful charting and visualization library for browser

fast.ai.study.notes

Study notes for fast.ai MOOC

freecodecamp

The https://FreeCodeCamp.com open source codebase and curriculum. Learn to code and help nonprofits.

go

The Open Source Data Science Masters

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

homebrew

:beer: The missing package manager for OS X.

interactive-vis-course

Repo for U of Miami course on interactive vis.

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

kaggle-ensemble-guide

Code for the Kaggle Ensembling Guide Article on MLWave

kaggle_airbnb_new_user_bookings

mining-the-social-web-2nd-edition

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

mlalgorithms

Minimal and clean examples of machine learning algorithms

mysql-connector-python

MySQL Connector/Python is implementing the MySQL Client/Server protocol completely in Python. No MySQL libraries are needed, and no compilation is necessary to run this Python DB API v2.0 compliant driver. Documentation & Download: http://dev.mysql.com/doc/connector-python/en

nbastats

NBA Stats Documentation

neo4j-ml-procedures

This project provides procedures and functions to support machine learning applications with Neo4j.

notebooks-statistics-and-machinelearning

http://unsupervised-learning.com

pandas

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