Hands-on machine learning with scikit-learn and scientific Python toolkits : a practical guide to implementing supervised and unsupervised machine learning algorithms in Python
Record details
- ISBN: 9781838826048
- ISBN: 1838823581
- ISBN: 9781838823580
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Physical Description:
1 online resource (1 volume) : illustrations
remote - Publisher: Birmingham, UK : Packt Publishing, Limited, 2020.
- Copyright: ©2020
Content descriptions
Formatted Contents Note: | Regularizing the regressor -- Training the lasso regressor -- Finding the optimum regularization parameter -- Finding regression intervals -- Getting to know additional linear regressors -- Using logistic regression for classification -- Understanding the logistic function -- Plugging the logistic function into a linear model -- Objective function -- Regularization -- Solvers -- Configuring the logistic regression classifier -- Classifying the Iris dataset using logistic regression -- Understanding the classifier's decision boundaries -- Getting to know additional linear classifiers -- Summary |
Source of Description Note: | Online resource; title from digital title page (viewed on November 23, 2020). |
Search for related items by subject
Subject: | Machine learning Python (Computer program language) Apprentissage automatique Python (Langage de programmation) Machine learning Python (Computer program language) Python (programmeertaal) |
Genre: | electronic book > ebook |