https://github.com/sudarsann27/basic_machine_learning_algorithms

Basic Machine learning algorithms using scikit-learn and other fundamental libraries
https://github.com/sudarsann27/basic_machine_learning_algorithms

data-science data-visualization ensemble-model kaggle numpy pandas scikit-learn supervised-machine-learning

Last synced: 19 days ago
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Basic Machine learning algorithms using scikit-learn and other fundamental libraries

• Host: GitHub
• URL: https://github.com/sudarsann27/basic_machine_learning_algorithms
• Owner: Sudarsann27
• Created: 2024-08-01T16:58:58.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-08-01T17:12:59.000Z (5 months ago)
• Last Synced: 2024-11-10T04:04:47.983Z (2 months ago)
• Topics: data-science, data-visualization, ensemble-model, kaggle, numpy, pandas, scikit-learn, supervised-machine-learning
• Language: Jupyter Notebook
• Homepage: https://www.kaggle.com
• Size: 2.49 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Hello Users!! 

Please do change the path of the directory, if you are using these models in your jupyter notebook or jupyter lab.

I have used basic parameters and scoring techniques for understanding the Machine Learning concepts on regression and classification models.

You can change it to your flexibility to achieve maximum accuracy score (in some of the algorithms).