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Artificial Intelligence #1: Linear & MultiLinear Regression (Udemy.com)

Regression techniques for students and professionals. Learn Linear & Multilinear Regression and code them in python

3.9
29 reviews

Created by: Sobhan N.

Last updated September 2018

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What you will learn

  • Program Linear Regression from scratch in python.
  • Program Multilinear Regression from scratch in python.
  • Predict output of model easily and precisely.
  • Use Regression model to solve real world problems.
  • Create Regression Model to find global temperature in the next years.
  • Build good and accurate Regression Model to estimate advertising campaign sales.

How it compares

Against the other 205 rated Udemy courses in Artificial Intelligence on CourseDuck:

  • Rating3.9 out of 5higher than 9% of them
  • Reviews29#196 of 206 by number of reviews
  • Length2.2 hoursshorter than 72% of them
  • Last updatedSeptember 2018earlier than 96% of them

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Course Description

In statistics, Linear Regression is a linear approach for modeling the relationship between a scalar dependent variable Y and one or more explanatory variables (or independent variables) denoted X. The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression.

In Linear Regression, the relationships are modeled using linear predictor functions whose unknown model parameters are estimated from the data. Such models are called linear models.
In this Course you learn Linear Regression & Multilinear Regression
You learn how to estimate and predict simple and single variable regression to find the possible future output Next you go further
You will learn how to estimate output of Multivariable model by using Multilinear Regression
In the first section you learn how to use python to estimate output of your system. In this section you can estimate output of:
  • Random Number
  • Diabetes
  • Boston House Price
  • Built in Dataset
In the Second section you learn how to use python to estimate output of your system with multivariable inputs.In this section you can estimate output of:
  • Global Temprature
  • Total Sales of Advertising Campaign
  • Built in Dataset
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Important information before you enroll:
  • In case you find the course useless for your career, don't forget you are covered by a 30 day money back guarantee, full refund, no questions asked!
  • Once enrolled, you have unlimited, lifetime access to the course!
  • You will have instant and free access to any updates I'll add to the course.
  • You will give you my full support regarding any issues or suggestions related to the course.
  • Check out the curriculum and FREE PREVIEW lectures for a quick insight.
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It's time to take Action!
Click the "Take This Course" button at the top right now!
...Don't waste time! Every second of every day is valuable...
I can't wait to see you in the course!
Best Regrads,
Sobhan

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Who this course is for:
  • Anyone who wants to make the right choice when starting to learn Linear & Multi Linear Regression.
  • Learners who want to work in data science and big data fielad
  • students who want to learn machine learning
  • Data analyser, Researcher, Engineers and Post Graduate Students need accurate and fast regression method.
  • Modelers, Statisticians, Analysts and Analytic Professional.
Read More All Levels All Levels product length iconTime: 2.2h

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Instructor Details

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My passion is teaching people through online courses. I love learning new skills, and since 2015 have been teaching people like you everything. I create courses that teach you how to become the better version of yourself with all kinds of skills.
What would you like to learn?
Would you like to learn Artificial Intelligence in python?
Would you like to make money creating landing pages?
Would you like to build your own AI programs & do something awesome for you?
Would you like to learn Xamarin to make both iOS/Android apps?
Would you like to learn how to write codes in HTML5 and CSS3?
Would you like to learn MATLAB the scientific language for researchers?

If you want to do any of these things, just enroll in the course. You have a 30-day money back guarantee if you don't like it. And I'm always improving my courses so that they stay up to date and the best that they can be. Check them out, and enroll today!
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About Sobhan N:
I have PhD degree in Electrical Engineering and like to learn anything about Electronics, Programming and Artificial Intelligence. I like electronic stuff like Arduino, Raspberry Pi and microcontrollers.
My passion is

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Reviews

3.9

29 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

Write a review

By Sachin Sahu

nice contents and helpful

By Warren Stearman

It was good and very useful and enjoyed so much

By Afzaal Ahmad

Helpful and easy to understand.

By JT

Engaging course, not long winded or confusing.

By Fporrata

Good explanations and examples. Instructor knows his material.

By Stephen Doroff

A bit slow.

By Fazi

This course is really good instructor send content clearly and simply. I appreciate the pace of learning. content are easy to understand. I highly recommend it.

By Zaied Zaman

Having a very good learning experience. Contents are concise and practical problem oriented. Instructor is experienced and knows what he's doing. Looking forward to learn more from similar courses.

By Sina

very good course about regression that i found on udemy. This course is very practical and helpful about linear and multi linear regression.

By Richard Alan Robey

Yes, it has open my eyes. I am new to Python but it seems to make sense.

By Rodrigo

Good job on the advertising section.

By Cleber Candido

Excelente abordagem!

Showing 12 of 13 reviews

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Quality Score

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Overall Score : 78 / 100

Artificial Intelligence #1: Linear & MultiLinear Regression
Visit course on Udemy Write a review
  • Video Duration: icon 2.2h
  • Price: $19.99
  • Provider: icon Udemy
  • Updated: icon September 2018
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
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