My Projects

Explanatory data analysis was conducted, and a model was built using Multiple Linear Regression to determine which variables most affect diamond price, leading to successful prediction of the diamond price with a strong coefficient of determination of 0.97. Challenges were faced due to the presence of many outliers and multicollinearity, which were satisfactorily addressed through data preprocessing and the removal of a few variables.