Skip to content

Latest commit

 

History

History
13 lines (10 loc) · 342 Bytes

File metadata and controls

13 lines (10 loc) · 342 Bytes

WordClouds-Classification-Clustering

Purpose of this project is to use wordclouds to analyze data and use algorithms for classification and clustering

Algorithms for classification: -Support Vector Classifier(SVC) -Random Forests -Naive Bayes -K-Nearest Neighbors(KNN)

Algorithm for clustering: -KMeans

For data visualization I use PCA