https://github.com/anibalalpizar/python-machine-learning-example
This code reads and preprocesses a dataset for classification using pandas, numpy, matplotlib and scikit-learn. The dataset is split into three parts for training, validation and testing. The data is then scaled and optionally oversampled for balanced classes.
https://github.com/anibalalpizar/python-machine-learning-example
machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 4 months ago
JSON representation
This code reads and preprocesses a dataset for classification using pandas, numpy, matplotlib and scikit-learn. The dataset is split into three parts for training, validation and testing. The data is then scaled and optionally oversampled for balanced classes.
- Host: GitHub
- URL: https://github.com/anibalalpizar/python-machine-learning-example
- Owner: anibalalpizar
- Created: 2023-04-01T01:41:41.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2023-04-03T03:10:26.000Z (about 2 years ago)
- Last Synced: 2025-01-08T23:45:54.144Z (6 months ago)
- Topics: machine-learning, matplotlib, numpy, pandas, python, scikit-learn
- Language: Python
- Homepage:
- Size: 617 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files: