Comprehensive Machine Learning Analysis: Predicting party affiliations of voters in elections using logistic regression, KNN, Naïve Bayes, and ensemble methods. Additionally, an exploration of presidential inaugural speeches to derive insights on word usage, stopwords, and frequent terms
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Comprehensive Machine Learning Analysis: Predicting party affiliations of voters in elections using logistic regression, KNN, Naïve Bayes, and ensemble methods. Additionally, an exploration of presidential inaugural speeches to derive insights on word usage, stopwords, and frequent terms
04Yogesh/ML_Election_Analysis
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Comprehensive Machine Learning Analysis: Predicting party affiliations of voters in elections using logistic regression, KNN, Naïve Bayes, and ensemble methods. Additionally, an exploration of presidential inaugural speeches to derive insights on word usage, stopwords, and frequent terms
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