AshwiniMahe / MachineLearning

Machine Learning

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Machine Learning

REGRESSION MODELS

  1. Simple Linear Regression
    Dataset: https://www.kaggle.com/harlfoxem/housesalesprediction
    Accuracy: 50.31%

  2. Multiple Linear Regression
    Dataset: https://www.kaggle.com/harlfoxem/housesalesprediction
    Accuracy: 69.48%

  3. Polynomial Regression
    Dataset: https://www.kaggle.com/usda/a-year-of-pumpkin-prices
    Accuracy: 77.83%

  4. Decision Tree Regression
    Dataset: https://www.kaggle.com/harlfoxem/housesalesprediction
    Accuracy: 77.41%

  5. Support Vector Regression
    Dataset: https://www.kaggle.com/harlfoxem/housesalesprediction
    Accuracy: 83.09%

  6. Random Forest Regression
    Dataset: https://www.kaggle.com/harlfoxem/housesalesprediction
    Accuracy: 87.83%

CLASSIFICATION MODELS

  1. Logistic Regression
    Dataset: https://www.kaggle.com/fivethirtyeight/the-ultimate-halloween-candy-power-ranking
    Accuracy: 88.89%

About

Machine Learning

License:MIT License


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Language:Jupyter Notebook 100.0%