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deep-learning-guide

An evolving guide to learning Deep Learning effectively.

deep_ctr

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeprec

Implementation of Deep Learning based Recommender Algorithms with Tensorflow.

diabetes

faker

Faker is a Python package that generates fake data for you.

ffmformat

fm_ftrl

Hashed Factorization Machine with Follow The Regularized Leader for Kaggle Avazu Click-Through Rate Competition

free-programming-books

:books: Freely available programming books

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

frontend-nanodegree-resume

This repository is used for one of the projects in Udacity's Front-End Web Developer Nanodegree program. Learn how to become a Front-End Developer today with line-by-line code reviewed projects and get a job with career services!

gitskills

givemesomecredit

hadoop-book

Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White

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.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

info490-sp17

Advanced Data Science, University of Illinois Spring 2017

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）

kaggle_criteo_ctr_challenge-

This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。

learngit

leetcode_sql

libffm

A Library for Field-aware Factorization Machines

libffm-ftrl

libffm with ftrl updater

lihang-code

《统计学习方法》的代码实现

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

machine-learning-session

machine-learning_zhouzhihua

Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

machinelearningtrick

Machine Learning Trick : GBDT_Feature Blending Stacking CascadeForest