Machine Learning with scikit-learn Quick Start Guide : Classification, regression, and clustering techniques in Python /: Classification, regression, and clustering techniques in Python. (2018)

Record Type:
Book
Title:
Machine Learning with scikit-learn Quick Start Guide : Classification, regression, and clustering techniques in Python /: Classification, regression, and clustering techniques in Python. (2018)
Main Title:
Machine Learning with scikit-learn Quick Start Guide : Classification, regression, and clustering techniques in Python
Further Information:
Note: Kevin Jolly.
Authors:
Jolly, Kevin
Contents:
Table of ContentsIntroducing Machine Learning with scikit-learnPredicting categories with K-Nearest NeighboursPredicting categories with Logistic RegressionPredicting categories with Naive Bayes and SVMsPredicting numeric outcomes with Linear RegressionClassification & Regression with TreesClustering data with Unsupervised Machine LearningPerformance evaluation methods.
Publisher Details:
Birmingham : Packt Publishing
Publication Date:
2018
Extent:
1 online resource (172 pages)
Subjects:
Computers -- Data Processing
Computers -- Data Modeling & Design
Database design & theory
Data capture & analysis
Machine learning
Information architecture
Computers -- Machine Theory
Mathematical theory of computation
Languages:
English
ISBNs:
9781789347371
1789347378
Related ISBNs:
9781789343700
Access Rights:
Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
Access Usage:
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:
British Library HMNTS - ELD.DS.352148
Ingest File:
01_309.xml