Congressional Bill Policy Area Classification
Build ML models to classify congressional bills by policy area. Analysis of TF-IDF features with Naive Bayes, Logistic Regression, and XGBoost.
6 posts tagged with data-science.
Build ML models to classify congressional bills by policy area. Analysis of TF-IDF features with Naive Bayes, Logistic Regression, and XGBoost.
Web scraper and machine learning analysis of congressional bill data, exploring legislative patterns and building classification models for policy …
Investigation of coordinated manipulation campaigns targeting high-profile Twitter accounts, revealing bot networks and compromised accounts during …
Large-scale dataset and analysis pipeline studying social media embedding in digital news, finding 13% of news stories include embedded tweets with …
Learn about the three types of machine learning with clear examples: supervised, unsupervised, and reinforcement learning explained simply.
Learn about count vectorization in Python: from basic one-hot encoding to text preprocessing techniques with scikit-learn and real datasets.