Time series forecasting analysis of U.S. monthly ice cream sales (2004–2019) using SARIMA time series modeling to capture trend, seasonality, and generate accurate short-term forecasts.

Applying exploratory data analysis and classification models (logistic regression, random forest, boosted trees) to Learnova’s prospect data to identify key drivers of online course enrollment and provide actionable business insights.

Assignment 2

IGOs with stronger institutional design features — including earlier establishment, treaty-based authority, broad jurisdictional scope, diversified objectives/strategies, and robust vertical/horizontal coordination are more likely to endure and remain effective actors in global ocean economy governance, compared to IGOs with narrower mandates, weaker legal bases, or limited coordination capacity.

This project was from the Codecademy training on R programming I am currently doing