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Published on April 16, 2017 by Edureka
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This Edureka Linear Regression tutorial will help you understand all the basics of linear regression machine learning algorithm along with examples. This tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Data Science concepts. Below are the topics covered in this tutorial:

1) Introduction to Machine Learning
2) What is Regression?
3) Types of Regression
4) Linear Regression Examples
5) Linear Regression Use Cases
6) Demo in R: Real Estate Use Case

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#LinearRegression #Datasciencetutorial #Datasciencecourse #datascience

How it Works?

1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
2. We have a 24×7 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. You will get Lifetime Access to the recordings in the LMS.
4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

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About the Course

Edureka’s Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on ‘R’ capabilities.

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Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:
1. Gain insight into the ‘Roles’ played by a Data Scientist
2. Analyse Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyse data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

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Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a ‘Data Scientist’
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. ‘R’ professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies

Please write back to us at sales@edureka.co or call us at +918880862004 or 18002759730 for more information.

Website: www.edureka.co/data-science
Facebook: www.facebook.com/edurekaIN/
Twitter: twitter.com/edurekain
LinkedIn: www.linkedin.com/company/edureka

Customer Reviews:

Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, “Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now…Thanks EDUREKA and all the best. “

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27 Comments on "Linear Regression Algorithm | Linear Regression in R | Data Science Training | Edureka"

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Pawan Singh
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Pawan Singh
2 days 22 hours ago

Good explanation of Linear Regression

Alla DeMuth
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Alla DeMuth
13 days 19 hours ago

Great explanation.

leo lillard
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leo lillard
14 days 18 hours ago

Great class can you send data set and R code to leo@valuesbc.com Thanks

edureka!
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edureka!
14 days 9 hours ago

Hey Leo! Thank you for watching our videos. We have shared the data set with you. Do subscribe, like and share our videos. Also, check out our website to know more about the courses we offer : www.edureka.co Hope this helps. Cheers 🙂

shoaib khan
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shoaib khan
21 days 21 hours ago

can you please share the dataset and codes at shoaibmba100@gmail.com it would be of great help!Thanks,Shoaib.

edureka!
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edureka!
19 days 8 hours ago

Hey! Thank you for watching our videos. We have shared the data set with you. Do subscribe, like and share our videos. Also, check out our website to know more about the courses we offer : www.edureka.coHope this helps. Cheers 🙂

edureka!
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edureka!
21 days 4 hours ago

Hey! Thank you for watching our videos. We have shared the data set with you. Do subscribe, like and share our videos. Also, check out our website to know more about the courses we offer : www.edureka.co
Hope this helps. Cheers 🙂

Ali Mohammad Tarif
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Ali Mohammad Tarif
22 days 1 hour ago

could you send the dataset to me…tohin.tarif@gmail.com. Thanks !

edureka!
Guest
edureka!
21 days 4 hours ago

Hey! Thank you for watching our videos. We have shared the data set with you. Do subscribe, like and share our videos. Also, check out our website to know more about the courses we offer : www.edureka.co Hope this helps. Cheers 🙂

shriraj misra
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shriraj misra
25 days 16 hours ago

could you send the dataset to me…shriraj.misra@gmail.com. Thanks !

edureka!
Guest
edureka!
25 days 8 hours ago

Hey Shiraj! Thank you for watching our videos. We have shared the data set with you. Do subscribe, like and share our videos. Also, check out our website to know more about the courses we offer : www.edureka.coHope this helps. Cheers 🙂

Deep Mandalaywala
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Deep Mandalaywala
30 days 21 hours ago

Detailed and very well explanation. Can you please attach R script code in every tutorials/ email me deepmandlay@gmail.com

edureka!
Guest
edureka!
28 days 7 hours ago

Hi Deep! We have shared the files with you. Keep learning and do subscribe to our channel. Cheers 🙂

ashwath raj
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ashwath raj
1 month 12 days ago

can u pls share thr r script to ashwathraj.g@gmail.com ! Thanks

edureka!
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edureka!
1 month 11 days ago

Hey Ashwath, thanks for checking out our tutorial!We have shared it with you. Do subscribe to our channel to stay posted on upcoming videos. You can also check out our complete training here: www.edureka.co/data-science. Hope this helps. Cheers!

Divyang Patel
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Divyang Patel
1 month 27 days ago

Great tutorial. Can you please send codes please? my email id is dpatel468@gmail.com

edureka!
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edureka!
1 month 25 days ago

Hey Divyang, thanks for checking out our tutorial! We're glad you found it useful.We have shared it with you. Do subscribe to our channel to stay posted on upcoming videos. You can also check out our complete training here: www.edureka.co/data-science. Hope this helps. Cheers!

Bharat Mishra
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Bharat Mishra
1 month 29 days ago

Very nice, the way you explained you made it easy. can i get the R code file on mishrabharat1993@gmail.com

edureka!
Guest
edureka!
1 month 25 days ago

Hey Bharat, thanks for checking out our tutorial! We're glad you found it useful.We have shared it with you. Do subscribe to our channel to stay posted on upcoming videos. You can also check out our complete training here: www.edureka.co/data-science. Hope this helps. Cheers!

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