Media Summary: Interactive explanation of k-means algorithm and how the algorithm can potentially fail. For more information on teaching or ... How to transform text into numerical representation (vectors) and how to find interesting groups of documents using hierarchical ... 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
Interactive explanation of k-means algorithm and how the algorithm can potentially fail. For more information on teaching or ... How to transform text into numerical representation (vectors) and how to find interesting groups of documents using hierarchical ... Making predictions with classification tree and logistic regression. The data is no longer available. Follow the procedure with any ... Explanation of silhouette score and how to use it for finding the outliers and the inliers. For more information on silhouette score, ... Feature scoring, ranking and feature selection in data mining. License: GNU GPL + CC Music by: Explanation of distance measurement between data points and a simple use of hierarchical clustering in the
Evaluating classifiers on iris data set and visualizing misclassifications. License: GNU GPL + CC Music by: ...
