Credit Scoring Model to predict an individual's creditworthiness using machine learning. Implements classification algorithms such as Logistic Regression, Decision Tree, and Random Forest. Evaluates model performance using metrics like Precision, Recall, F1-Score, and ROC-AUC.
The project provides a comprehensive Dashboard that presents the findings of the data analysis related to analyzing pollution data and CNS disease statistics in the Italian province.
Correlations between various world data
EchoTrends is a data visualization app that analyzes your Spotify playlists and reveals insightful patterns—such as track duration, popularity, and statistical correlations—using interactive charts and statistical tests. Built with React (frontend) and FastAPI (backend), it offers both functional analysis and a demo landing
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