Chapter 6. Regression Methods
In this chapter, we will cover various techniques to predict the output of a power plant. You will learn the following recipes:
- Identifying and tackling multicollinearity in your data
- Building a linear regression model to predict the power plant output
- Using OLS to forecast how much electricity can be produced
- Estimating the output of an electric plant using CART
- Employing the kNN model in a regression problem
- Applying the Random Forest model to a regression analysis
- Gauging the amount of electricity a plant can produce using SVMs
- Training a Neural Network to predict the output of a power plant
