UppuluriKalyani / ML-Nexus

ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and grow together in the world of AI. Join us to shape the future of machine learning!
https://discord.gg/n2D4RqnU
MIT License
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Feature request: creating R program folder and adding Loan Default Prediction Using Decision Trees and Random Forests #561

Open akashlogics opened 1 day ago

akashlogics commented 1 day ago

Is your feature request related to a problem? Please describe. This project aims to predict loan defaults (or customer churn) using Decision Tree and Random Forest models. We will use financial and demographic information from customers to train machine learning models and predict whether a customer will default on a loan or not.

Describe the solution you'd like We will compare the performance of these models using metrics such as accuracy, precision, recall, and confusion matrices. Additionally, we'll visualize the decision tree and assess feature importance in the random forest model.

Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.

Approach to be followed (optional) A clear and concise description of the approach to be followed.

Additional context Screenshot 2024-10-24 110512

github-actions[bot] commented 1 day ago

Thanks for creating the issue in ML-Nexus!πŸŽ‰ Before you start working on your PR, please make sure to:

github-actions[bot] commented 1 day ago

Thanks for raising this issue! However, we believe a similar issue already exists. Kindly go through all the open issues and ask to be assigned to that issue.