Python Feature Engineering Cookbook
portes grátis
Python Feature Engineering Cookbook
Over 70 recipes for creating, engineering, and transforming features to build machine learning models
Galli, Soledad
Packt Publishing Limited
10/2022
386
Mole
Inglês
9781804611302
15 a 20 dias
Descrição não disponível.
Table of Contents
Imputing Missing Data
Encoding Categorical Variables
Transforming Numerical Variables
Performing Variable Discretization
Working with Outliers
Extracting Features from Date and Time
Performing Feature Scaling
Creating New Features
Extracting Features from Relational Data with Featuretools
Creating Features from Time Series with tsfresh
Extracting Features from Text Variables
Imputing Missing Data
Encoding Categorical Variables
Transforming Numerical Variables
Performing Variable Discretization
Working with Outliers
Extracting Features from Date and Time
Performing Feature Scaling
Creating New Features
Extracting Features from Relational Data with Featuretools
Creating Features from Time Series with tsfresh
Extracting Features from Text Variables
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Python; SciPy recipes; SciPy Python; Scikit Python; Scikit learn Python; NumPy Python
Table of Contents
Imputing Missing Data
Encoding Categorical Variables
Transforming Numerical Variables
Performing Variable Discretization
Working with Outliers
Extracting Features from Date and Time
Performing Feature Scaling
Creating New Features
Extracting Features from Relational Data with Featuretools
Creating Features from Time Series with tsfresh
Extracting Features from Text Variables
Imputing Missing Data
Encoding Categorical Variables
Transforming Numerical Variables
Performing Variable Discretization
Working with Outliers
Extracting Features from Date and Time
Performing Feature Scaling
Creating New Features
Extracting Features from Relational Data with Featuretools
Creating Features from Time Series with tsfresh
Extracting Features from Text Variables
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
