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Kaggle_Titanic
the data and ipython notebook of my attempt to solve the kaggle titanic problemCTR_NN
基于深度学习的CTR预估,从FM推演各深度学习CTR预估模型(附代码)pyspark-recommendation-demo
movie recommendation demo using collaborative filtering and lfm(spark mllib ALS)ML-examples
some machine learning examplesimage_retrieval
Image retrieval system demo based on caffe and lshnaive_bayes
the code corresponding to my csdn blog naive bayes seriesFeature_Engineering_and_XGBoost_Parameter_Tuning
Examples of how to do feature engineering and Xgboost parameter tuningSVM-ipython-tutorial
ipython notebook examples for SVMPandas_data_analysis_guide_examples
Pandas data analysis guide examplespython-and-numpy-tutorial
a simple numpy tutorial ipython notebook with comments in ChineseFeature-engineering
feature engineering example for Kaggle bicycle competitionNeural-Network-Example
a simple neural network example : data non-linear classification and how different hidden layer num affect resultDeep_Learning_Assignment
Deep Learning Assignment example codespython_and_data_easy_examples
Kaggle-Bicycle-Example
data cleaning, feature engineering, data modeling and data analysis example on the Kaggle Bicycle competitionData-Analysis-and-Modeling-Example
Data Analysis and Modeling Ipython Notebook ExamplesLove Open Source and this site? Check out how you can help us