AI Data Science Course

The collection of documents encompasses various data science projects that leverage machine learning techniques for problem-solving across diverse domains, including public safety, marketing, energy consumption, fraud detection, and customer behavior analysis. These projects detail methodologies such as data preprocessing, feature engineering, and model selection, ultimately highlighting insights that aid in decision-making, operational efficiency, and strategic planning. The overarching goal is to demonstrate the value of predictive analytics in enhancing performance and addressing societal challenges.