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Election Analysis Using Machine Learning by Yogesh Kulawade is a document available to read on EtoBox.

This business report discusses two machine learning projects for a news channel. The first project involves building a model to predict which political party voters will vote for using survey data with 9 variables. The best performing model was a Naive Bayes classifier, which provided insights such as Labour receiving more votes than Conservatives and factors influencing votes. The second project analyzes inaugural speeches from Roosevelt, Kennedy, and Nixon, finding the number of characters, words, and sen

Author

Yogesh Kulawade

Language

EN