Skip to Main Content
SQL Server 2017 Developer???s Guide
book

SQL Server 2017 Developer???s Guide

by Dejan Sarka, Miloš Radivojević, William Durkin
March 2018
Intermediate to advanced content levelIntermediate to advanced
816 pages
19h 35m
English
Packt Publishing
Content preview from SQL Server 2017 Developer???s Guide

Performing advanced analytics

You can find many different libraries for statistics, data mining, and machine learning in Python. Probably the best known one is the scikit-learn package. It provides most of the commonly used algorithms, and also tools for data preparation and model evaluation.

In scikit-learn, you work with data in a tabular representation by using pandas data frames. The input table (actually a two-dimensional array, not a table in the relational sense) has columns used to train the model. Columns, or attributes, represent some features, and therefore this table is also called the features matrix. There is no prescribed naming convention; however, in most of the Python code you will note that this features matrix is stored ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

SQL Server 2016 Developer's Guide

SQL Server 2016 Developer's Guide

Miloš Radivojević, Dejan Sarka, William Durkin
Mastering SQL Server 2017

Mastering SQL Server 2017

Milos Radivojevic, Dejan Sarka, William Durkin, Christian Cote, Matija Lah

Publisher Resources

ISBN: 9781788476195Supplemental Content