Loan Repayment Prediction

[aviralgarg05]

ML-Crate Repository (Proposing new issue)

:red_circle: Project Title : Loan Repayment Prediction :red_circle: Aim : To predict the loan repayment :red_circle: Dataset : https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/ML0101ENv3/labs/loan_train.csv :red_circle: Approach : 1. Data Preprocessing 2. Data Visualization 3. Train, Test, Split 4. Modelling- DT, RF 5. Metrics and Evaluation

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📍 Follow the Guidelines to Contribute in the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • Images - To store the required images.
  • Dataset - To store the dataset or, information/source about the dataset.
  • Model - To store the machine learning model you've created using the dataset.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

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:red_circle::yellow_circle: Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.

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:white_check_mark: To be Mentioned while taking the issue :

• Full name : Aviral Garg
• GitHub Profile Link : https://github.com/aviralgarg05
• Participant ID (If not, then put NA) : NA
• Approach for this Project : 1. Data Preprocessing 2. Data Visualization 3. Train, Test, Split 4. Modelling- DT, RF 5. Metrics and Evaluation
• What is your participant role? (Mention the Open Source Program name. Eg. HRSoC, GSSoC, GSOC etc.) : SSOC Contributor

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎