Pinned

1. Healtchare_Fraud_Detector Healtchare_Fraud_Detector Public

   Healthcare provider fraud detector is a classification machine learning project to predict the potential fraudulent providers based on the healthcare claims filed.

   Jupyter Notebook

2. Healthcare_Fraud_Provider_Detector_Webapp Healthcare_Fraud_Provider_Detector_Webapp Public

   Flask app is created to be used as API to predict the fraudulent healthcare provider based on information gathered.

   Jupyter Notebook 1

3. FinTech FinTech Public

   FinTech_Upskill

   Jupyter Notebook

4. boardgame-dashboard boardgame-dashboard Public

   We built a webpage to visualize the data related to board games. The page scrapes and loads the latest news, and uses SQL database to load the data, and javascript to visualize the filtered informa…

   Jupyter Notebook 2

5. Data-Journalism-and-D3 Data-Journalism-and-D3 Public

   I used JavaScript to create charts, graphs, and interactive elements to help readers understand the health risks facing particular demographics.

   JavaScript

6. leaflet-USGS leaflet-USGS Public

   In this project, I used leaflet to visualize the United States Geological Survey (USGS) past 30 days M4.5+ earthquakes dataset. I created layers of maps with circles represent all of the earthquake…

   JavaScript