Media Summary: How to transform text into numerical representation (vectors) and how to find interesting groups of documents using hierarchical ... Interactive explanation of k-means algorithm and how the algorithm can potentially fail. For more information on teaching or ... Making predictions with classification tree and logistic regression. The data is no longer available. Follow the procedure with any ...
Getting Started With Orange 16 - Detailed Analysis & Overview
How to transform text into numerical representation (vectors) and how to find interesting groups of documents using hierarchical ... Interactive explanation of k-means algorithm and how the algorithm can potentially fail. For more information on teaching or ... Making predictions with classification tree and logistic regression. The data is no longer available. Follow the procedure with any ... Feature scoring, ranking and feature selection in data mining. License: GNU GPL + CC Music by: How to visualize logistic regression model, build classification workflow for text and predict tale type of unclassified tales. License: ... Evaluating classifiers on iris data set and visualizing misclassifications. License: GNU GPL + CC Music by: ...
Explanation of silhouette score and how to use it for finding the outliers and the inliers. For more information on silhouette score, ...
