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Brief Introduction

A Python project to collect Chinese real estate's information on the Internet and train a model to precict house price.

File Structure

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├── anjuke.py    Collect and normalize data from Anjuke
├── fang.py    Collect and normalize data from Fang
├── lianjia.py    Normalize data from Lianjia
├── median.py    Calculate the median of a city's house prices   
├── padding.py    Pad price between records     
├── plotCityHouseIndex.py    Generate each city's HPI chart book, or general sheet     
├── train.ipynb    Train a model of house price and make predictions using scikit-learn & Tensorflow
└── util.py    Some trivial functions used in data wrangling

Source of Information

安居客
房天下
链家

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