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1. credit-risk-classification credit-risk-classification Public

   This project uses machine learning to predict credit risk based on financial data. A logistic regression model was trained and evaluated to classify loans as either low-risk or high-risk. The analy…

   Jupyter Notebook

2. Crowdfunding_ETL Crowdfunding_ETL Public

   This project demonstrates a complete ETL (Extract, Transform, Load) process applied to crowdfunding campaign data. The goal is to transform raw CSV files into a structured relational database, enab…

   Jupyter Notebook

3. CryptoClustering CryptoClustering Public

   K-Means Clustering on Cryptocurrency Data Visual analysis of clustering performance using original vs. reduced features (via PCA). Includes elbow curve and scatter plot comparisons to highlight the…

   Jupyter Notebook

4. Leaflet_Challenge Leaflet_Challenge Public

   This project visualizes real-time global earthquake data on an interactive map using Leaflet.js. By integrating data from the USGS GeoJSON feed, it enables users to explore earthquake magnitude, de…

   JavaScript

5. Predicting_Customer_Churn_in_the_Credit_Card_Industry Predicting_Customer_Churn_in_the_Credit_Card_Industry Public

   This project uses machine learning to predict whether a customer will churn based on transaction history, demographics, and account behavior. We applied classification models (Logistic Regression, …

   Jupyter Notebook

6. Tech_Stock_Tracker Tech_Stock_Tracker Public

   This project analyzes historical stock performance of major tech companies to identify investment trends and visualize key financial insights. Leveraging Yahoo Finance API, the tracker pulls real-t…

   JavaScript