Designed a model to predict personal loan interest rates based on 22 attributes like credit score, Income etc., on real time data containing 19,700 entries. Designed five models using Regression (Generalized & Stepwise), Bootstrap tree, Bootstrap Forest, KNN, Neural Nets and chose Boosted Tree model with Validation R-squared of 83.9% and predicted the interest rates for 1648 entries.
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Designed a model to predict personal loan interest rates based on 22 attributes like credit score, Income etc., on real time data containing 19,700 entries. Designed five models using Regression (Generalized & Stepwise), Bootstrap tree, Bootstrap Forest, KNN, Neural Nets and chose Boosted Tree model with Validation R-squared of 83.9% and predict…
Jaswanth1020/Interest-Prediction-for-Personal-Loans
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Designed a model to predict personal loan interest rates based on 22 attributes like credit score, Income etc., on real time data containing 19,700 entries. Designed five models using Regression (Generalized & Stepwise), Bootstrap tree, Bootstrap Forest, KNN, Neural Nets and chose Boosted Tree model with Validation R-squared of 83.9% and predict…
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