House-Price-Prediction

Predicting house price with linear regression and with feature selection

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Run the Notebook on Google Colab

You can easily run this code on google colab by just clicking this badge

Algorithms used

• Pearson Correlation : for features selection
• Mutual Information : for feature seletion
• Linear Regression algorithm : for training model

About the Dataset

Download Dataset

you can use this Dataset with clicking this badges :

Train set :

Test Set :

Using Dataset on jupyter notebook

on the step 3 of the code file you can easily use the dataset like importing this code:

train_set_url = "https://raw.githubusercontent.com/AsadiAhmad/House-Price-Prediction/refs/heads/main/Dataset/train.csv"
test_set_url = "https://raw.githubusercontent.com/AsadiAhmad/House-Price-Prediction/refs/heads/main/Dataset/test.csv"

pd.set_option('display.max_rows', None)

train_set = pd.read_csv(train_set_url)
test_set = pd.read_csv(test_set_url)

License

This project is licensed under the MIT License.