Loan Prediction

A classification pipeline (KNN, Random Forest, XGBoost) predicting loan approval, with interactive Plotly EDA.

Overview

Designed a machine learning pipeline to predict loan approval decisions. Performed comprehensive exploratory data analysis with Plotly for interactive visualisations. Trained and evaluated multiple classification algorithms including KNN, Random Forest, and XGBoost, with feature engineering and hyperparameter tuning.

Built with

Python · Scikit-learn · XGBoost · Pandas · Plotly

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