scikit-learn Cookbook – Second Edition includes walk throughs and solutions to the common as well as the not-so-common problems in machine learning, and how scikit-learn can be leveraged to perform various machine learning tasks effectively.
(Limited-time offer)
Table of Contents
- High-Performance Machine Learning – NumPy
- Pre-Model Workflow and Pre-Processing
- Dimensionality Reduction
- Linear Models with scikit-learn
- Linear Models – Logistic Regression
- Building Models with Distance Metrics
- Cross-Validation and Post-Model Workflow
- Support Vector Machines
- Tree Algorithms and Ensembles
- Text and Multiclass Classification with scikit-learn
- Neural Networks
- Create a Simple Estimator
Download Free PDF / Read Online
Author(s): Julian Avila, Trent Hauck
Publisher: Packt Publishing
Published: November 2017
Format(s): Online
File size: –
Number of pages: 374
Download / View Link(s): This offer has ended.
Free as of 12/21/2023.
Publisher: Packt Publishing
Published: November 2017
Format(s): Online
File size: –
Number of pages: 374
Download / View Link(s): This offer has ended.
Free as of 12/21/2023.