Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
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Updated
Oct 27, 2023 - HTML
Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
Classification model for 1 year survival rates in patients with HCC (hepatocellular carcinoma).
Udacity capstone project | Credit card fraud prediction | Supervised Learning | Ensemble model | Data Sampling
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The repo holds the source code for credit card fraud detection system
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Exploratory data analysis and predictive modeling using Tinder matching data. Model predicts whether you would find a relationship or not. The EDA was showcased with a web application, in collaboration with software engineer students. This project was part of Practicum Code Pudding 2.0 competition.
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This is a Credit Analysis project developed by Felipe Solares da Silva and is part of his professional portfolio.
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