https://github.com/sridharyadav07/code_alpha_task-1
This project involves developing a machine learning model to predict the creditworthiness of individuals based on their financial history and demographic information. The model uses a Random Forest Classifier to classify individuals into two categories: Default or No Default in the next month. The dataset used is the UCI Credit Card dataset.
https://github.com/sridharyadav07/code_alpha_task-1
accuracy confusion-matrix labelencoder matplotlib-pyplot numpy pandas random-forest-classifier roc-auc-score scikit-learn standardscaler
Last synced: 13 days ago
JSON representation
This project involves developing a machine learning model to predict the creditworthiness of individuals based on their financial history and demographic information. The model uses a Random Forest Classifier to classify individuals into two categories: Default or No Default in the next month. The dataset used is the UCI Credit Card dataset.
- Host: GitHub
- URL: https://github.com/sridharyadav07/code_alpha_task-1
- Owner: SridharYadav07
- Created: 2025-02-07T08:39:08.000Z (14 days ago)
- Default Branch: main
- Last Pushed: 2025-02-07T08:45:05.000Z (14 days ago)
- Last Synced: 2025-02-07T09:31:09.884Z (14 days ago)
- Topics: accuracy, confusion-matrix, labelencoder, matplotlib-pyplot, numpy, pandas, random-forest-classifier, roc-auc-score, scikit-learn, standardscaler
- Language: Jupyter Notebook
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0