BMC Hackathon Project

Overview

This project was developed for the BMC Hackathon, focusing on building a recommendation and optimization reconciliation engine using Random Forest. The project ensures consistency and accuracy of data from multiple sources through a rule-based reconciliation process.

Features

• Recommends rule priorities based on past data and exceptions.

Project Files

• Final_submission.ipynb: Main Jupyter Notebook.
• Use_case_1_Dataset.csv: Dataset for use case 1.
• Usecase-1 And Usecase-2 Validation data.csv: Validation data.

How to Run

1. Clone the repository:

   git clone https://github.com/aniketk17/BMC_Hackathon.git
   

2. Install Dependencies:

   pip install -r requirements.txt