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
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4.5

157 Reviews

Shruti Balu Khedekar

2026-08-14

Nadia Ibrahim

Excellent

2026-08-10

Mesum Abbas

This course gives me a lot of knowledge and help in my future.

2026-08-07

Nouran Khardani

Good

2026-07-22

Nida khan

Nice 👍

2026-07-19

Arshad Ali

Good

2026-07-08

girish chubbah

Very happy to learn a new chapter in the field of IT and will keep learning in this platform

2026-07-08

Navya Krishna

it is very helpful

2026-06-30

Sakshi Shirsath

2026-06-30

Ramya Sri

Good

2026-06-23

Nikhil Ranjan

fd

2026-06-23

RAUSHAN KUMAR RAUSHAN KUMAR

Very good

2026-06-22

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