Artificial Intelligence #1- Linear MultiLinear Regression

Artificial Intelligence #1: Linear & MultiLinear Regression, available at $19.99, has an average rating of 3.95, with 23 lectures, based on 29 reviews, and has 3165 subscribers.

You will learn about 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. This course is ideal for individuals who are Anyone who wants to make the right choice when starting to learn Linear & Multi Linear Regression. or Learners who want to work in data science and big data fielad or students who want to learn machine learning or Data analyser, Researcher, Engineers and Post Graduate Students need accurate and fast regression method. or Modelers, Statisticians, Analysts and Analytic Professional. It is particularly useful for Anyone who wants to make the right choice when starting to learn Linear & Multi Linear Regression. or Learners who want to work in data science and big data fielad or students who want to learn machine learning or Data analyser, Researcher, Engineers and Post Graduate Students need accurate and fast regression method. or Modelers, Statisticians, Analysts and Analytic Professional.

Enroll now: Artificial Intelligence #1: Linear & MultiLinear Regression

Summary

Title: Artificial Intelligence #1: Linear & MultiLinear Regression

Price: $19.99

Average Rating: 3.95

Number of Lectures: 23

Number of Published Lectures: 23

Number of Curriculum Items: 23

Number of Published Curriculum Objects: 23

Original Price: ￡94.99

Quality Status: approved

Status: Live

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.

Who Should Attend

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.

Target Audiences

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.

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Required Softwares and Libraries

Chapter 2: Linear Regression

Lecture 1: Linear Regression Theory

Lecture 2: Linear Regression Random Numbers Part-1

Lecture 3: Linear Regression Random Numbers Part-2

Lecture 4: Linear Regression Random Numbers Source

Lecture 5: Linear Regression Diabetes Dataset Part-1

Lecture 6: Linear Regression Diabetes Dataset Part-2

Lecture 7: Linear Regression Diabetes Dataset Source

Lecture 8: Linear Regression Boston Houses Dataset Part-1

Lecture 9: Linear Regression Boston Houses Dataset Part-2

Lecture 10: Linear Regression Boston Houses Dataset Source

Lecture 11: Linear Regression Built-in Dataset

Lecture 12: Linear Regression Built-in Dataset Source

Chapter 3: Multilinar Regression

Lecture 1: Multilinear Regression Theory

Lecture 2: Multilinear Regression Global Temperature Part-1

Lecture 3: Multilinar Regression Global Temperature Part-2

Lecture 4: Multilinear Regression Global Temperature Source

Lecture 5: Multilinear Regression Advertising Part-1

Lecture 6: Multilinear Regression Advertising Part-2

Lecture 7: Multilinear Regression Advertising Source

Lecture 8: Multilinear Regression Built-in Dataset

Lecture 9: Multilinear Regression Built-in Dataset Source

Instructors

Sobhan N.
AI Developer|Electrical Engineer (PhD)|21,000+ Students

Rating Distribution

1 stars: 3 votes

2 stars: 1 votes

3 stars: 4 votes

4 stars: 7 votes

5 stars: 14 votes

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