https://github.com/traore-07/supervised-learning-models
Supervised learning is a machine learning technique where the algorithm is trained on a dataset with both input features (independent variables) and corresponding output labels (dependent variables). It uses labeled datasets to train algorithms to predict outcomes and recognize patterns.
https://github.com/traore-07/supervised-learning-models
classification classification-algorithims machine-learning machine-learning-algorithms regression regression-algorithms supervised-learning
Last synced: 7 months ago
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Supervised learning is a machine learning technique where the algorithm is trained on a dataset with both input features (independent variables) and corresponding output labels (dependent variables). It uses labeled datasets to train algorithms to predict outcomes and recognize patterns.
- Host: GitHub
- URL: https://github.com/traore-07/supervised-learning-models
- Owner: TRAORE-07
- Created: 2024-08-22T18:44:57.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2025-01-16T07:59:47.000Z (12 months ago)
- Last Synced: 2025-01-16T09:05:32.023Z (12 months ago)
- Topics: classification, classification-algorithims, machine-learning, machine-learning-algorithms, regression, regression-algorithms, supervised-learning
- Language: Python
- Homepage:
- Size: 76.2 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Support: Support_Vector_Machine(SVM).py
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README
# Supervised-Learning-Models
Supervised learning is a machine learning technique where the algorithm is trained on a dataset with both input features (independent variables) and corresponding output labels (dependent variables). It uses labeled datasets to train algorithms to predict outcomes and recognize patterns.
1. Programming Language:
- Python
2. Most frequent libraries:
- Pandas
- Numpy
- Sklearn
- Matplotlib