项目作者： jesussantana
项目描述 ：
Practice and become familiar with regressions
高级语言： Jupyter Notebook
项目地址: git://github.com/jesussantana/Supervised-Regression.git
IT Academy - Data Science with Python
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
