Machine Learning | Warangkhana_D

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PORTFOLIO · MACHINE LEARNING

Built to predict, not just describe.

Building and comparing predictive models to see which one actually holds up against real data, not just in theory.

R

Python

Image by Growtika

01

Comparison 4 Model with Bank Marketing Data

Train and race four classifiers Decision Tree, KNN, Random Forest, and Logistic Regression on 4,500+ bank customer records to predict who will subscribe to a term deposit, landing on Logistic Regression as the clear winner at 89.17% accuracy.

Python

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