Linear Regression Algorithm | Linear Regression in Python | Machine Learning Algorithm | Edureka

This Linear Regression Algorithm video is designed in a way that you learn about the algorithm in depth. This video is designed in a way that in the first part you will learn about the algorithm from scratch with its mathematical implementation, then you will drill down to the coding part and implement linear regression using python. Below are the topics covered in this tutorial:

1. What is Regression?
2. Regression Use-case
3. Types of Regression – Linear vs Logistic Regression
4. What is Linear Regression?
5. Finding best-fit regression line using Least Square Method
6. Checking goodness of fit using R squared Method
7. Implementation of Linear Regression Algorithm using Python (from scratch)
8. Implementation of Linear Regression Algorithm using Python (scikit lib)

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How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

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About the Course

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present

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Why learn Machine Learning with Python?

Data Science is a set of techniques that enable the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

[jeremmoses]

The explanation was top-notch, Kudos to the instructor and specially Edureka for making this, Thank You.

[trebelojaques]

You guys have a video on literallyy every topic, don't ya🔥❤️😂

[beast_creationz]

the perfect explanation of linear regersssion model

[harshdewangan]

You are a world-class instructor, your speaking skills are really good. Even I had completed the video in 2x speed, I did not find any place where I have to replay the part. The linear regression algorithm is explained in the easiest possible way. Thanks for the effort!!!!

[sahildingla]

best video i have ever seen on linear regression

[karthikeyans]

really a great work.kindly explain the code slowly

[BwithGadgets]

The only video that helped me in calculating the best fit line in so much detail and plain english. Thanks for the same.

[rishavpaudel]

thank you so much for making my life i am M.Tech(AI) student struggling with linear regression from yesterday

[srirekha]

A great video with all explanations about the model 👍 Could you please explain why one was subtracted while calculating r squared value

[muhammadiqbalbazmi]

Awesome, It's a great explanation.
I got it, thanks a lot.
Quality Unmatched, A Vigorous teacher.

[sachinweerasinghe]

Excellent lecture.I've followed many lectures, in linear regression analysis, but those were useless, but, your lecture was good,

[callmeravi]

Awesome explanation . Thank you edureka. Explanation is Very understandable manner to even poor mathematical background people. I need clarification. When R(square) is very less how to increase R(square) to make best fit of line. Is there any formula or mathematical procedure. Kindly clarify me.

[kamalakannankk]

The best Linear Regression tutorial i have ever seen!! Thank you edureka!!!

[haribabusompalli]

Excellent Session. Could you please share the data set used in this practice.

[mus-abumama]

watched lots of videos to learn this. understood nothing. but, u guys just killed it.

[kiranedupuganti]

Very Good, looking for Mathematical understanding for prediction and code implementation. Very Much satisfied to understand prediction derivation. Thanks much.

[chandunarla]

Thank you so much
I have been seeing various videos to understand this topic but you killed it. I loved the explanation 😍

[ShubhamKumar-fyfl]

Now my concept of Liner Regression become clear. Thank you so much for providing free education.

[vivekchavda]

Helped me in understanding my regular AI lectures

[Amritharaja]

The presentation is great. May I know how you created these presentations (is it power point presentation or something else?)