HanXiaoyang/Kaggle_Titanic

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HanXiaoyang/Kaggle_Titanic

HanXiaoyang

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

Kaggle_Titanic

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

我自己实验Kaggle上的Titanic问题的ipython notebook

train.csv和test.csv为使用到的的数据

对于该问题的详细讲解和机器学习解决问题的一般思路请戳寒小阳的博客

有任何问题欢迎联系[email protected]

CTR_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）

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