Python Feature Engineering Cookbook

With Python Feature Engineering Cookbook, uncover the end-to-end feature engineering process across continuous, discrete, and unstructured datasets. Implement modern feature extraction techniques using Python’s pandas, scikit-learn, SciPy and NumPy libraries. (Limited-time offer)

Book Description

• Foreseeing Variable Problems When Building ML Models
• Imputing Missing Data
• Encoding Categorical Variables
• Transforming Numerical Variables
• Performing Variable Discretization
• Working with Outliers
• Deriving Features from Dates and Time Variables
• Performing Feature Scaling
• Applying Mathematical Computations to Features
• Creating Features with Transactional and Time Series Data
• Extracting Features from Text Variables

Download Free PDF / Read Online