An R markdown notebook detailing the necessary steps to fit a multinomial logistic regression model to some sample data.
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Updated
Aug 23, 2023 - HTML
An R markdown notebook detailing the necessary steps to fit a multinomial logistic regression model to some sample data.
This notebook explores comprehensive machine learning analysis on a rock dataset, covering attribute distribution analysis, outlier identification using statistical values and visualizations like scatter plots,and applying Multinomial Logistic Regression,Support Vector Machines, Random Forest classifiers,Ensemble learning,hyperparameter optimizatio
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