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Arthur DANJOU
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- Created CLAUDE.md to provide development commands, architecture overview, and environment variables for the Nuxt 3 portfolio website. - Refactored project pages to remove unused color mappings and improve project filtering logic. - Updated content.config.ts to enforce stricter project type definitions and added short descriptions for projects. - Deleted outdated project files and added new projects related to hackathons and academic research. - Enhanced existing project descriptions with short summaries for better clarity.
1.5 KiB
1.5 KiB
slug, title, type, description, shortDescription, publishedAt, readingTime, status, tags, icon
| slug | title | type | description | shortDescription | publishedAt | readingTime | status | tags | icon | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ml-loan | Machine Learning for Loan Prediction | Academic Project | Predicting loan approval and default risk using machine learning classification techniques. | A project applying machine learning to predict loan approvals and assess default risk. | 2025-01-24 | 2 | Completed |
|
i-ph-money-wavy-duotone |
This project focuses on building machine learning models to predict loan approval outcomes and assess default risk. The objective is to develop robust classification models that can effectively identify creditworthy applicants.
📊 Project Objectives
- Build and compare multiple classification models for loan prediction
- Identify key factors influencing loan approval decisions
- Evaluate model performance using appropriate metrics
- Optimize model parameters for better predictive accuracy
🔍 Methodology
The study employs various machine learning approaches:
- Exploratory Data Analysis (EDA) - Understanding applicant characteristics and patterns
- Feature Engineering - Creating meaningful features from raw data
- Model Comparison - Testing multiple algorithms (Logistic Regression, Random Forest, Gradient Boosting, etc.)
- Hyperparameter Tuning - Optimizing model performance
- Cross-validation - Ensuring robust generalization