An R markdown notebook detailing the necessary steps to fit a multinomial logistic regression model to some sample data.
-
Updated
Aug 23, 2023 - HTML
#
multinomial-logistic-regression
Here are 2 public repositories matching this topic...
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
machine-learning-algorithms
hyperparameter-optimization
svm-classifier
pcc
ensemble-classifier
random-forest-classifier
multinomial-logistic-regression
-
Updated
Jan 5, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the multinomial-logistic-regression topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the multinomial-logistic-regression topic, visit your repo's landing page and select "manage topics."