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Midterm Requirements: Housing Price Prediction using Linear Regression with One Feature

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House-Price-Prediction

Housing Price Prediction using Linear Regression with One Feature. Through simple linear regression, the house price can be predicted by computing for the best fit line. Provided the dataset and the target feature the program will find the values for the slope and y-intercept and visualize it using matplotlib.

Clone

git clone "https://github.com/CSjianbel/House-Price-Prediction.git"

Installation

cd House-Price_prediction

pip install -r requirements.txt

Usage

cd src

python house_price_prediction.py <dataset> <feature>

python house_price_prediction.py data/real_estate.csv distance_to_the_nearest_MRT_station

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

MIT

A Project by Jiankarlo A. Belarmino

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Midterm Requirements: Housing Price Prediction using Linear Regression with One Feature

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