Python

SQLServerCentral Article

Dimensionality Reduction Techniques - PCA, Kernel-PCA and LDA Using Python

  • Article

Summary In this article, we will be looking at some of the useful techniques on how to reduce dimensionality in our datasets. When we talk about dimensionality,  we are referring to the number of columns in our dataset assuming that we are working on a tidy and a clean dataset. When we have many columns […]

4 (1)

You rated this post out of 5. Change rating

2021-05-24

3,946 reads

Blogs

Sic Transit Gloria Community

By

When Covid took out the PASS organization, I had someone say to me, “Well,...

DATEADD Truncates the Number Parameter: #SQLNewBlogger

By

This was an interesting thing I saw in a Question of the Day submission....

Our SQL Server is Slow! What Do I Do First?

By

Don’t Panic! It’s a vague but common complaint, frequently with no additional details. Before...

Read the latest Blogs

Forums

Dynamic T-SQL Script Parameterization Using Python

By omu

Comments posted to this topic are about the item Dynamic T-SQL Script Parameterization Using...

Merge Replication - Lost Change

By sqlsauce

I have a server set up as publisher/distributor and another as subscriber to a...

Server Role for User Database Access

By dpaskiet

I am looking to simplify a development server access issue.  Databases are constantly being...

Visit the forum

Question of the Day

A Strange Choice

What is returned when I run this code in SQL Server 2022?

CREATE TABLE CatIndex
( indexval VARCHAR(20)
)
GO
INSERT dbo.CatIndex (indexval) VALUES ('1'), ('2'), ('3')
GO
SELECT CHOOSE(indexval, cast('2025-01-01' AS DATE), CAST('2025-02-01' AS DATE), CAST('2025-03-01' AS DATE))
FROM dbo.CatIndex AS ci

See possible answers