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: 5 months 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 (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-01T17:12:59.000Z (almost 2 years ago)
• Last Synced: 2025-04-07T14:47:26.124Z (about 1 year 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).