newbeeeee's repositories
text_analysis
天猫商城洗发水商品top10的评论情感分析
2016CCF-SouGou
CCF2016 - TNT_000二等奖作品
Big_Data_Resources
:boom:大数据/数据挖掘/推荐系统/机器学习相关资源
chinese-word2vec
word2vec/glove/swivel binary file on chinese corpus
DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
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.
Kaggle-Playground
Preparing for serious Kaggle competitions!
Kaggle_CrowdFlower
1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)
kaggle_pbr
My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.
Kaggler
add ftrl_fm cython implementation
keras-quora-question-pairs
A Keras model that addresses the Quora Question Pairs dyadic prediction task.
LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
MachineLearning
This project contain some machine learning algrithm demo.Maybe the code is also useful to you.
notes-machine-learning
My Notes on Machine Learning
O2O-Coupon-Usage-Forecast
1st Place Solution for O2O Coupon Usage Forecast
pyFM
Factorization machines in python
Python-Design-Patterns
Python Design Patterns
python-libffm
A Python wrapper for the libffm library.
rtb-papers
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
Santander-Product-Recommendation
2nd Place Solution of the Kaggle Competition - Santander Product Recommendation
scikit-learn
scikit-learn: machine learning in Python
tgboost
Tiny Gradient Boosting Tree
word2vec-GoogleNews-vectors
word2vec Google News model
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow