https://github.com/kaushalprajapatikp/-using-machine-learning-models-predict-the-success-of-bank-telemarketing

This project focused on building and evaluating machine learning models to predict a target variable in a highly imbalanced dataset, prioritizing the F1-macro score as the key performance metric. The pipeline included comprehensive data preprocessing, exploratory data analysis (EDA), feature scaling, and model experimentation.
https://github.com/kaushalprajapatikp/-using-machine-learning-models-predict-the-success-of-bank-telemarketing

Last synced: about 1 month ago
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This project focused on building and evaluating machine learning models to predict a target variable in a highly imbalanced dataset, prioritizing the F1-macro score as the key performance metric. The pipeline included comprehensive data preprocessing, exploratory data analysis (EDA), feature scaling, and model experimentation.

• Host: GitHub
• URL: https://github.com/kaushalprajapatikp/-using-machine-learning-models-predict-the-success-of-bank-telemarketing
• Owner: KaushalprajapatiKP
• Created: 2024-12-26T14:15:27.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2024-12-26T14:16:26.000Z (about 1 month ago)
• Last Synced: 2024-12-26T15:23:13.627Z (about 1 month ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 4.06 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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