Topic: 20-newsgroup-dataset Goto Github
Some thing interesting about 20-newsgroup-dataset
Some thing interesting about 20-newsgroup-dataset
20-newsgroup-dataset,I leveraged an algorithmic approach for document classification and document clustering. Various models have been trained for document classification and they all have been evaluated using performance metrics followed by tuning of the model hyper-parameters to reach the most accurate classification. Additionally, a model has been trained for document clustering, which is followed by a dimensionality reduction technique to visualize the document clusters in 2D space.
User: hardikasnani
20-newsgroup-dataset,Text classification implementing the standard and voted version of Perceptron. Experiments conducted on the 20 Newsgroups dataset.
User: samuelemeta
20-newsgroup-dataset,
User: soumyajain29
20-newsgroup-dataset,The aim of this project is: 1.Perform Text Classification using Multinomial Naive Bayes 2. Implement Naive Bayes from scratch for Text Classification. 3. Compare Results of self implemented code of Naive Bayes with one in Sklearn. dataset used is 20_newsgroups
User: swagatika15
20-newsgroup-dataset,Implementation of Naive Bayes algorithm and comparing it with inbuilt SKLearn MultinomialNB. Comparing the efficiency of algorithms using 20 news group dataset
User: uditiarora
20-newsgroup-dataset,This repository contains notebooks which explores the tsne algorithm by applying it on various datasets
User: veereshelango
Home Page: https://veereshelango.github.io/tsne_visualiztion_20_news_group_dataset_using_plotlyjs.html
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