Taiwan House Price Prediction with PyTorch

This is a sample project for predicting house prices using a neural network model built with PyTorch.

Usage

1. Install the dependencies:

pip install -r requirements.txt

2. Data analysis:

python data_analysis.py

Feature Name Translation

Chinese Name	English Name
行政區編號	District ID
土地面積	Land Area
使用分區	Usage Zone
移轉層次	Transfer Level
總樓層數	Total Floors
主要用途	Main Usage
主要建材	Main Material
建物型態	Building Type
屋齡	Building Age
建物面積	Building Area
車位面積	Parking Area
車位個數	Parking Count
橫坐標	Latitude
縱坐標	Longitude
主建物面積	Main Building Area
陽台面積	Balcony Area
附屬建物面積	Attached Building Area

Feature Distributions

Distribution of District ID

Distribution of Land Area

Distribution of Usage Zone

Distribution of Transfer Level

Distribution of Total Floors

Distribution of Main Usage

Distribution of Main Material

Distribution of Building Type

Distribution of Building Age

Distribution of Building Area

Distribution of Parking Area

Distribution of Parking Count

Distribution of Latitude

Distribution of Longitude

Distribution of Main Building Area

Distribution of Balcony Area

Distribution of Attached Building Area