The objective of the project is to perform data visulalization techniques to understand the insight of the data. Machine learning often required to getting the understanding of the data and its insights. This project aims apply various Python tools to get a visual understanding of the data and clean it to make it ready to apply machine learning opertation on it.

This is an exe file. Package requirements are included in requirement.txt. This project uses Python 3.9. Run the following command in terminal to install the required packages. pip3 install -r requirements.txt

The app includes all the markdowns which explain the process.

• The train data-set has 21980 samples, 40 features and 1 target variable.
• The test data-set has 9420 samples and 40 features.
• The target variable is the sale price.

The heat-map showed the correlation of each variable with another. The darker colour means the relationship between any two variables are strongly correlated and lighter colour means they have almost no relationship.

1. Fork it!
2. Create your feature branch: git checkout -b my-new-feature
3. Commit your changes: git commit -am 'Add some feature'
4. Push to the branch: git push origin my-new-feature
5. Submit a pull request :)

This repo is maintained by salimt.