samueledet/datascience-nigeria

This is a notebook on feature engineering sessions at Data science Nigeria # datascience-nigeria 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: 1. How to use featuretools for feature construction. 2. Understanding the mathematics involved in the following dimensionality reduction techniques: PCA, LDA and Kernel PCA. 3. 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!