Project2025
ML & Data Mining
Hands-on machine-learning coursework: classification and regression for loan approval, including an ensemble and decision-tree models, built and evaluated end-to-end.
Problem
Predict loan-approval outcomes and work out which modelling approach generalises best.
What I built
I built and evaluated classification models (Naive Bayes, Logistic Regression, KNN) and a Decision-Tree regressor in Python, including a Naive Bayes + Logistic Regression ensemble, and ran the full data-mining workflow of cleaning, feature preparation, training, and evaluation.
My role
Individual project: all modelling, evaluation, and analysis.
Stack
- Python
- scikit-learn
- Pandas
- NumPy
- Jupyter
Impact
- Ensemble of three algorithms (Naive Bayes, Logistic Regression, KNN).
- Full data-cleaning and feature pipelines.