This project is coded in Python.
Pokemon in the Pokemon games are given six different stats to determine their power: HP, Attack, Defense, Special Attack, Special Defense, and Speed. I wanted to see if the distribution followed some sort of pattern. Specifically, I wanted to see if we gave a machine five of the six types, could it reasonably predict the final stat.
The analysis was made using five different regression techniques:
- Random Forest Regression
- Linear Regression
- Decision Tree Regression
- Support Vector Regression
- Lasso Regression