About:
This is a notebook on feature engineering sessions at Data science Nigeria@AI Hub University of Lagos. This notebook has been majorly compiled using the folowing materials: Sebastian Raschka textbook on Python for machine learning and Willkohersen notebook on automated feature engineering.
Learning Outcomes:
- How to use featuretools for feature construction.
- Understanding the mathematics involved in the following dimensionality reduction techniques: PCA, LDA and Kernel PCA.
- How to implement PCA, LDA and Kernel PCA using scikit learn.
Case study: Default of credit card client datatset.
Tools:
Featuretools - To install - python -m pip install featuretools; Scikit learn, numpy, matplotlib, pandas etc.
Level:
Beginner class.
Hours:
3 hours
Pre-requisite knowledge:
Basic understanding of Linear algebra.
Have Fun!