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SKLearn – Python

4 Steps: Import Class: or from sklearn.linear model import logistic regression instantiate / estimates or logreg=logistic regression Fit model with data [ Model Training ] logreg.fit(x,y) Predict response: logreg.predict(x)

2020-04-28

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Blog Post

ML Models

In this series I would be talking mostly about Python and R, we would understand the different ML model supported in Python. Python is a great open source language...

2020-04-27

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Blogs

T-SQL Tuesday #192: What career risks have you taken?

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I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...

AI: Blog a Day – Day 3: LLM Models – Open Source vs Closed Source

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Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...

How to Parameterize Fabric Linked Services in Azure Data Factory for Azure Devops Deployment

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Quite the title, so let me set the stage first. You have an Azure...

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how to write this query?

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Rollback vs. Roll Forward

By Steve Jones - SSC Editor

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Foreign Keys - Foes or Friend?

By utsav

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Question of the Day

Fun with JSON I

I have some data in a table:

CREATE TABLE #test_data
(
    id INT PRIMARY KEY,
    name VARCHAR(100),
    birth_date DATE
);

-- Step 2: Insert rows  
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT *
FROM OPENJSON(
     (
         SELECT t.* FROM #test_data AS t FOR JSON PATH
     )
             ) t;

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