ppxie

spark-timeseries

A library for time series analysis on Apache Spark

interactive-coding-challenges

Continually updated, interactive, test-driven Python coding challenges (algorithms and data structures) typically found in coding interviews or coding competitions. https://bit.ly/git-code

python

Python学习

machine-learning-samples

Sample applications built using Amazon Machine Learning.

scikit-learn-videos

IPython notebooks from the scikit-learn video series

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

DAT7

General Assembly's Data Science course in Washington, DC

DAT8

General Assembly's Data Science course in Washington, DC

nba_py

Python client for NBA statistics located at stats.nba.com

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

Machine-Learning-2

Machine learning library written in readable python code

interview_python

关于Python的面试题

Data-Analysis-and-Machine-Learning-Projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

notebooks

Some sample IPython notebooks for scikit-learn

machine-learning-1

Code & Data for Introduction to Machine Learning with Scikit-Learn

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

MLatImperial2016

Materials for the course of machine learning at Imperial College organized by YSDA

machine-learning

parallel_ml_tutorial

Tutorial on scikit-learn and IPython for parallel machine learning

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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 ;)

kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

ml_meetup_nyc_2016

Material for Machine Learning Meetup "Machine Learning with Scikit-learn"

astroML

Machine learning, statistics, and data mining for astronomy and astrophysics

DeepLearning

Deep Learning (Python, C, C++, Java, Scala, Go)

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

DataScienceResources

Open Source Data Science Resources.

code_py

A collection of well-commented code snippets for data science

scipy_2015_sklearn_tutorial

Scikit-Learn tutorial material for Scipy 2015