Business performace forecasting

[Kushagra1taneja]

Description

This PR adds the Business Performance Forecasting feature to the project. It includes the implementation of a model that predicts profits based on various business metrics.

Issue Resolved

This PR resolves #192 .

Changes Made

• Implemented the predict.py file to handle profit predictions.
• Created a corresponding model.py file to load the model and scaler.
• Updated the JSON configuration files to integrate the new model.
• Added a detailed model_details() function to provide insights into the model's performance.

Screenshots or Videos

Additional Details

The new feature includes a user-friendly interface that allows users to input relevant business metrics and receive accurate profit predictions. The model has been tested locally and is ready for deployment.

Please put GSSOC-extd , Hackertobefest and level labels

Checklist

• My code follows the current project structure.
• I have thoroughly reviewed and updated the requirements.txt file to include any new packages.
• The predict.py file includes a properly implemented model_details() function, or the notebook contains this function to print a detailed model report. The model will not be accepted without this function, as it is essential for generating the necessary model details.
• I have added relevant tests (if necessary).
• I have added comments in the code where needed.
• This PR is submitted under Hacktoberfest.
• This PR is submitted under GirlScript Summer of Code (GSSoC-Extd).

[yashasvini121]

The Jupyter notebook containing the model_evaluation function is missing. Alternatively, you can directly add the model_evaluation function to the models.py file.

[Kushagra1taneja]

save_evaluation_to_pickle() is the model_evaluation function in the Business_forecasting.py file added in the second commit.