Project information

• Category: Prediction and analysis
• Tools: R Studio
• Project URL: Github

Implemented data cleaning, correlation analysis, K-nearest neighbor, and multiple linear regression on the dataset to obtain the forecast for food imports, expenditure on different food imports, and visualized in R. Conducted stepwise regression for feature selection; utilized regularization techniques for hyperparameter tuning.