https://github.com/octavioduarte/randomforest
Example of classification using the RandomForest algorithm, with visual exploratory analysis using seaborn and matplotlib plots, and data normalization using One-Hot Encoding and StandardScaler. Covered in the datascienceacademy course.
https://github.com/octavioduarte/randomforest
cross-validation hyperparameter-tuning machine-learning matplotlib one-hot-encoding random-forest seaborn standard-scaler
Last synced: about 1 year ago
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Example of classification using the RandomForest algorithm, with visual exploratory analysis using seaborn and matplotlib plots, and data normalization using One-Hot Encoding and StandardScaler. Covered in the datascienceacademy course.
- Host: GitHub
- URL: https://github.com/octavioduarte/randomforest
- Owner: octavioduarte
- Created: 2024-06-22T00:38:27.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2024-06-22T02:27:24.000Z (about 2 years ago)
- Last Synced: 2024-06-23T14:25:12.596Z (about 2 years ago)
- Topics: cross-validation, hyperparameter-tuning, machine-learning, matplotlib, one-hot-encoding, random-forest, seaborn, standard-scaler
- Language: Jupyter Notebook
- Homepage:
- Size: 374 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files: