Tutorials – Top 6 Linear Regression Tutorials for 2017




This page lists down top 6 machine learning tutorials (from Youtube) for the topic, Linear (Univariate) and Multilinear (Multivariate) regression from the perspective of most viewed / popularity. Following are the topics for these videos:

  • How to Do Linear Regression using Gradient Descent
  • Interpreting Output for Multiple Regression using SPSS
  • R programming for beginners – statistic with R
  • Linear Regression with Gradient Descent – Intelligence and Learning
  • Linear Regression – Machine Learning Fun and Easy
  • Linear Regression Algorithm | Linear Regression in R

How to Do Linear Regression using Gradient Descent

This tutorial video is posted on the channel Siraj Raval. They have got some real cool tutorial videos on other machine learning topics such as some of the following:

Interpreting Output for Multiple Regression using SPSS

This tutorial video is posted on the channel Todd Grande. They have got some real cool tutorial videos on other machine learning topics such as some of the following:

R programming for beginners – statistic with R

This tutorial video is posted on the channel Global Health with Greg Martin.

Linear Regression with Gradient Descent – Intelligence and Learning

This tutorial video is posted on the channel The Coding Train. They have got some real cool tutorial videos on other machine learning topics such as some of the following:

Linear Regression – Machine Learning Fun and Easy

This tutorial video is posted on the channel Arduino Startups. They have got some real cool tutorial videos on other machine learning topics such as some of the following:

Linear Regression Algorithm | Linear Regression in R

This tutorial video is posted on the channel Edureka. They have got some real cool tutorial videos on other machine learning topics such as some of the following:

Latest posts by Ajitesh Kumar (see all)
Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

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