Michael McGee

Conducted a comprehensive multiple linear regression analysis to predict IMDb movie ratings based on various features, providing insights into factors that influence movie popularity and ratings.

Tools & Process: R, RMarkdown, lm, ggplot2, HTML, CSS

Collected and cleaned movie data from IMDb, ensuring data quality and consistency. Performed exploratory data analysis (EDA) to understand data distributions and relationships. Used feature selection techniques to identify significant predictors that influence movie ratings. Applied multiple linear regression to model these relationships, evaluating the model’s performance using residual analysis and goodness-of-fit metrics. Developed an HTML report using RMarkdown customized with CSS to present the findings with interactive visualizations, making the results accessible and easy to interpret.