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

How to Get The Certificate

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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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Atteyeh Abdillahi

I learned a great deal of knowledge and skills during this course, and I greatly appreciate it. 2025-09-16

هادی جعفریان

Thank you for your good site. 2025-09-01

Mannat Sharma

Great Course. Easy to understand 2025-09-01

Mohammed Aathila N

Very useful for beginners. Well explained. Thank you!!! 2025-08-30

akhilesh kumar

Good 2025-08-27

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I am delighted with this website; it is completely free and valuable 2025-08-25

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ANANT KUMAR PANDEY

Good enough 2025-08-23

Saniya.M

Good 2025-08-22

Roshan Vilas Zine

Class Very Nice 2025-08-21

Jenisha Anto J

Useful course 2025-08-18

Bathiya Irfana M

Good 2025-08-16

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Data Science is a comprehensive process that involves pre-processing, analysis, visualization and prediction. On the other hand, AI is the implementation of a predictive model to forecast future events. Data Science comprises of various statistical techniques whereas AI makes use of computer algorithms.

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How to Get The Certificate

An Introduction to ML NET

A Simple ML NET Linear Regression Machine Learning Application

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

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

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

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

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

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