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Kaggle Data Classification Challenge for UMD FIRE171 - ASN4: Binary Classification with Logistic Regression

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Kaggle Data Classification Challenge: UMD FIRE171 - ASN4

  • Used Logistic Regression to predict if a customer will make a payment for the billed amount next month or not

This machine learning algorithm was written using simple logistic regression to study customer payment profile and history to predict if the person would pay their billed amount on time or not. This implementation uses concepts taught in the DataCamp course for Linear Regression, and achieves an 80% accurate prediction. This submission ranked in the top 30% of submissions to the challenge.

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Kaggle Data Classification Challenge for UMD FIRE171 - ASN4: Binary Classification with Logistic Regression

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