With Machine Learning with scikit-learn Quick Start Guide, build your first machine learning model using scikit-learn. Train supervised and unsupervised models using popular techniques such as classification, regression and clustering. (Limited-time offer)
Table of Contents
- Introducing Machine Learning with scikit-learn
- Predicting Categories with K-Nearest Neighbors
- Predicting Categories with Logistic Regression
- Predicting Categories with Naive Bayes and SVMs
- Predicting Numeric Outcomes with Linear Regression
- Classification and Regression with Trees
- Clustering Data with Unsupervised Machine Learning
- Performance Evaluation Methods
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Author(s): Kevin Jolly
Publisher: Packt Publishing
Published: October 2018
Format(s): Online
File size: –
Number of pages: 172
Download / View Link(s): This offer has ended.
Free as of04/24/2020 04/15/2023.
Publisher: Packt Publishing
Published: October 2018
Format(s): Online
File size: –
Number of pages: 172
Download / View Link(s): This offer has ended.
Free as of