Jupyter to practice data visualization and one-hot encoding. Then I did feature engineering before training a Random Forest classifier. I'll improve the performance of the model by running Feature Importance on the model. After selecting the most important features, I retrained the model. You can check accuracy improvement in the notebook.
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kit57/data_visualization_rfc
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Data visualization and one hot encoding of Kaggle dataset. Model trained with random forest classifier
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