IT Academy - Data Science with Python

Sprint 9: Correlation, Feature Scaling & Feature Engineering

Description

Learn to manage parameters with Python.

Level 1

• Exercise 1:
  • Grab a sports-themed dataset that you like and normalize categorical attributes in dummy. Normalize numeric attributes with StandardScaler.

Level 2

• Exercise 2:
  • Continue with the sports theme data set you like and apply the main component analysis.

Level 3

• Exercise 3:
  • Continue with the sports theme data set you like and normalize the data taking into account the outliers.

Targets

• Pre-process the data by performing feature engineering
• Interpret the different concepts of feature engineering