Machine learning project predicting loan defaults using HMEQ dataset. Implements multiple classification algorithms (Logistic Regression, Decision Tree, Random Forest) with comprehensive EDA and model evaluation. Capstone project for MIT ADSP Program
What is the sandesha21/loan-default-prediction-MIT-AIML-project GitHub project? Description: "Machine learning project predicting loan defaults using HMEQ dataset. Implements multiple classification algorithms (Logistic Regression, Decision Tree, Random Forest) with comprehensive EDA and model evaluation. Capstone project for MIT ADSP Program". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.
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