jesussantana / Supervised-Regression

Practice and become familiar with regressions

IT Academy - Data Science with Python

S12 T01: Supervised Regression

Github Supervised Regression

Description

Let’s practice and become familiar with regressions

Level 1

• Exercise 1:

  • Create at least three different regression models to try to best predict DelayedFlights.csv flight delay (ArrDelay).

• Exercise 2:

  • Compare them based on MSE and R2.

• Exercise 3:

  • Train them using the different parameters they support

• Exercise 4:

  • Compare your performance using the traint / test approach or using all data (internal validation)

Level 2

• Exercise 5:
  • Perform some variable engineering process to improve prediction

Level 3

• Exercise 6:
  • Do not use the DepDelay variable when making predictions

Targets

• Regression models
• Regression trees
• Random Forest
• Neural Networks
• Other models