description
This project was carried as a semester project requirement for CSC 522 Automated Learning & Data Mining. The project focuses on predicting forest cover type in the 4 Wilderness Areas of Roosevelt National Park located at Colorado. The data for the project was obtained from Kaggle (it is also hosted on UCI repository under the name "forest cover type"). We obtained incremental improvement with every new classification technique we tried and simultaneously our Kaggle ranking also went up.