This exercise, made with a Jupyter Notebook kernel, explores the sales of Toyota Corolla cars. Various types of machine learning's Linear Regression algorithms have been used in order to predict the sale price of Toyota Corolla cars.
The CEO from Toyota Barcelona got in tocuh because she is interested in having a model to predict the prices of the different Corolla models that she is selling. Right now, the company has developed an algorithm that has an error rate of 50%, so they are not feeling really confident with their results. The CEO is interested in having a model with better accuracy. Can you help her?
Ex3.2.ToyotaCorolla.csv