rockkb Goto Github PK

feature_engineering_project

gcforest

Python implementation of deep forest method : gcForest

generate-faces

GAN Project [Udacity Deep Learning Nanodegree]

gnlpy

A generic netlink library for python.

graphqembed

Learning to query complex networks

hyperparameter-optimization

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

identifying-fraud-from-the-enron-dataset

Project - 06 , Udacity Data Analyst Nanodegree

jdata

京东JData算法大赛-高潜用户购买意向预测入门程序(starter code)

jdata-1

JDATA - China Big Data Algorithm Competition **大数据算法大赛 - 如期而至：用户购买时间预测

jdata-2

京东JData算法大赛-高潜用户购买意向预测

jdata-2018

Top 6 - Code for JData-2018

jdata_2018

京东Jdata2018"如期而至"用户购买时间预测

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频

kaggle-house-prices-advanced-regression-techniques

Udacity capstone project: Kaggle competition on house prices prediction using advanced regression techniques

kaggle-house-prices-advanced-regression-techniques-1

Repository for source code of kaggle competition: House Prices: Advanced Regression Techniques

kaggle_competition_treasure

Describe past Kaggle solutions

label-propagation-lpa

Label Propagation(LPA) Algorithm with python

lambdo

Feature engineering and machine learning: together at last!

lightgbm-gbdt-lr

a python code of applying GBDT+LR for CTR prediction

lihang_algorithms

用python和sklearn两种方法实现李航《统计学习方法》中的算法

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

machinelearning

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

machinelearning-1

Basic Machine Learning and Deep Learning

ml_class_andewng

斯坦福机器学习课程课后习题全解

ml_micro_loan

机器学习项目：微额借款用户人品预测

neo4j-graph-algorithms

Efficient Graph Algorithms for Neo4j

netana-complex-network-analysis

Extraction/Analysis for graph features from public datasets, using NetworkX.

notebooks

Examples and IPython Notebooks about NetworkX

openke

An Open-Source Package for Knowledge Embedding (KE)