What will you learn in this course?

Master data pre-processing, analysis, and visualization techniques for actionable insights in data science projects
Develop predictive models using artificial intelligence algorithms for accurate forecasting and decision-making
Apply statistical methods and machine learning algorithms to solve real-world data problems effectively

Implement AI-driven solutions to automate data analysis and enhance predictive accuracy in diverse industries
Utilize data science tools and programming languages to extract, clean, and interpret complex datasets
Design and evaluate AI models to improve business outcomes and optimize operational efficiency

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Lessons | 7

00:03:16

An Introduction to ML NET

00:17:19

A Simple ML NET Linear Regression Machine Learning Application

00:07:05

Analyze sentiment of website comments in a web application using ML Net Model Builder – Part 1

00:08:46

Analyze sentiment of website comments in a web application using ML Net Model Builder – Part 4

00:16:21

Analyze sentiment of website comments in a web application using ML Net Model Builder – Part 3

00:04:57

Analyze sentiment of website comments in a web application using ML Net Model Builder – Part 2

00:25:59

Analyze the Sentiment of Website Comments in ASP NET Core 3 1 Web App using Model Builder

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Excellent		87 Reviews
Good		61 Reviews
medium		8 Reviews
Acceptable		1 Reviews
Not Good		0 Reviews

4.5

157 Reviews

Ahmed Habjah

i like this course

2026-10-07

AAYUSH PALAV

Nice

2026-10-06

Maher Muhammad Abdullah

it was cool

2026-10-06

Pranati Shah

gud

2026-10-06

Nonika Saraf

Good course

2026-09-30

Uvasri K G

Very useful

2026-09-24

ELANGKUMANAN RADHA

Very good

2026-09-16

Adil Ramzan

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 Data Science and Artificial Intelligence Certificate
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2026-09-13

OGWUCHE MICHAEL OGBOLE

This course was massive

2026-09-12

COCO Happy cat Lopez

nice

2026-09-10

T.L IRFAN 12

good

2026-09-06

Naeem Raza

great

2026-09-05

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