Capstone Projects of the HarvardX Professional Data Science Program
This repository contains my capstone projects for the HarvardX Professional Data Science program. The folder structure is as follows:
- MovieLens: Contains files for the MovieLens Capstone Project, a mandatory component of the program.
- VegetationResponse: Contains files for the Vegetation Response Capstone Project, which focuses on predicting vegetation health (NDVI) based on rainfall data using various machine learning models.
The MovieLens folder includes the Rmd, PDF, and R script files for the MovieLens Capstone Project. This project analyzes and models the MovieLens dataset using multiple techniques to predict movie ratings. The evaluation metric used is RMSE (Root Mean Squared Error).
The VegetationResponse folder contains the Rmd, PDF, and R script files for the Vegetation Response Capstone Project. This project aims to predict NDVI (Normalized Difference Vegetation Index) using rainfall data and evaluates model performance based on RMSE and MAE. The analysis includes models like Random Forest, Linear Regression, and ARIMAX, with visualizations that help interpret the results.
Feel free to explore the content of each folder. Any feedback is greatly appreciated!