Big-Data-Medicare-Fraud-Detection

Big-Data-Medicare-Fraud-Detection

Atharvak19

4 different Big Datasets joined to get single table for final data analysis. Fraud Detection by taken consideration of different key features with applying different Machine Learning Algorithm to see which one performs better.

46 Stars
19 Forks
46 Watchers
Jupyter Notebook Language
Cost to Build
$30.8K
Market Value
$67.6K

Growth over time

2 data points  ·  2023-04-01 → 2025-09-01
Stars Forks Watchers
💬

How do you feel about this project?

Ask AI about Big-Data-Medicare-Fraud-Detection

Question copied to clipboard

What is the Atharvak19/Big-Data-Medicare-Fraud-Detection GitHub project? Description: "4 different Big Datasets joined to get single table for final data analysis. Fraud Detection by taken consideration of different key features with applying different Machine Learning Algorithm to see which one performs better.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone Big-Data-Medicare-Fraud-Detection

Clone via HTTPS

git clone https://github.com/Atharvak19/Big-Data-Medicare-Fraud-Detection.git

Clone via SSH

[email protected]:Atharvak19/Big-Data-Medicare-Fraud-Detection.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the Big-Data-Medicare-Fraud-Detection issue tracker:

Open GitHub Issues