This project House prices estimator based on the kaggel competition data.
The model is based on Regression. I have made use of dission tree method predict my outcome.
- The date used to determine my outcome is avalable on the data folder or can be found from the competition page.
- Data folder contains:
- data_description.txt - A detialed description of the data provided
- sample_submission.csv - A sample formate for output submission
- test.csv - Test dataset
- train.csv - Train dataset
- House_price.ipynb contains the code for data preprocessing and modeling.
- submission.csv is the outcome of the data modeling.