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
Author(s): Soledad Galli
Publisher: Packt Publishing
Published: January 22, 2020
Format(s): Online
File size: –
Number of pages: 372
Download / View Link(s): This offer has ended.
Free as of 08/18/2020.
Publisher: Packt Publishing
Published: January 22, 2020
Format(s): Online
File size: –
Number of pages: 372
Download / View Link(s): This offer has ended.
Free as of 08/18/2020.