HanXiaoyang/CTR_NN

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HanXiaoyang/CTR_NN

HanXiaoyang

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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）

CTR_NN

CTR prediction using Neural Network methods
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）

详情请参见博文《从FM推演各深度学习CTR预估模型（附代码）》
部分代码参考lambdaji同学，对此表示感谢

代码所需数据可在ctr_data.txt中的网盘地址中下载到。

Kaggle_Titanic

the data and ipython notebook of my attempt to solve the kaggle titanic problem

Jupyter Notebook

pyspark-recommendation-demo

movie recommendation demo using collaborative filtering and lfm(spark mllib ALS)

ML-examples

some machine learning examples

Jupyter Notebook

image_retrieval

Image retrieval system demo based on caffe and lsh

Jupyter Notebook

naive_bayes

the code corresponding to my csdn blog naive bayes series

Jupyter Notebook

Feature_Engineering_and_XGBoost_Parameter_Tuning

Examples of how to do feature engineering and Xgboost parameter tuning

Jupyter Notebook

Pandas_data_analysis_guide_examples

Pandas data analysis guide examples

Jupyter Notebook

SVM-ipython-tutorial

ipython notebook examples for SVM

Jupyter Notebook

python-and-numpy-tutorial

a simple numpy tutorial ipython notebook with comments in Chinese

Jupyter Notebook

Feature-engineering

feature engineering example for Kaggle bicycle competition

Jupyter Notebook

recommendation_example

user based collaborative filtering and matrix factorization for reccomendation system example

Jupyter Notebook

Neural-Network-Example

a simple neural network example : data non-linear classification and how different hidden layer num affect result

Jupyter Notebook

Deep_Learning_Assignment

Deep Learning Assignment example codes

Jupyter Notebook

Kaggle-Bicycle-Example

data cleaning, feature engineering, data modeling and data analysis example on the Kaggle Bicycle competition

Jupyter Notebook

python_and_data_easy_examples

Jupyter Notebook

Data-Analysis-and-Modeling-Example

Data Analysis and Modeling Ipython Notebook Examples

Jupyter Notebook