Learn to manage parameters with Python.
- Exercise 1:
- Grab a sports-themed dataset that you like and normalize categorical attributes in dummy. Normalize numeric attributes with StandardScaler.
- Exercise 2:
- Continue with the sports theme data set you like and apply the main component analysis.
- Exercise 3:
- Continue with the sports theme data set you like and normalize the data taking into account the outliers.
- Pre-process the data by performing feature engineering
- Interpret the different concepts of feature engineering