Trending News Prediction using NLTK and Web Scraping GitHub

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Summary

Developed a web scraper to gather news articles from a specific website and processed the data using NLP techniques. Employed various classification machine learning models (logistic regression, k-nearest neighbors, decision tree, random forest, xgboost) to determine the optimal model for predicting and analyzing news trends.