Data Science Presentation

The content encompasses a range of projects focused on employing machine learning techniques to analyze and predict various outcomes across different sectors, including finance, human resources, public health, and marketing. Key themes include predicting consumption patterns, customer behavior, employee retention, fraud detection, and movie success, highlighting data preprocessing, feature engineering, model evaluation, and application of algorithms such as random forest and gradient boosting. Overall, the collection emphasizes data-driven decision-making and the practical applications of predictive analytics.