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: 8 days 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 1 year ago)
• Default Branch: master
• Last Pushed: 2023-04-03T03:10:26.000Z (over 1 year ago)
• Last Synced: 2024-08-13T06:28:57.297Z (3 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
• Metadata Files:

Awesome Lists containing this project