Machine Learning in R: Building a Linear Regression Model

In this machine learning in R tutorial video, I will go over the steps on how you can build a simple linear regression model using the caret package in the R language. The dataset that we will be using is the Boston Housing dataset where we will be predicting the median home value in Boston.
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[@theforester_]

your videos are simply the best ones i've found so far. thanks very much.

[@DataProfessor]

Glad you like them! :)

[@JJ-io4pe]

Very interesting. Planning to watch this again and follow along in R Studio this weekend.

[@DataProfessor]

Thanks for the support Jared.

[@ama016]

Thank you! You are fantastic!! Love from Norway

[@DataProfessor]

Wow, thank you!

[@jeffersonjones7863]

Learn or refresh R piece by piece - great series!!

[@DataProfessor]

Thanks for the comment! Right, this is part of the "Machine Learning in R" series, planning on releasing a "Data Visualisation in R" series soon 😃. Next up, "What programming language to learn for Data science? R vs Python"

[@jeffersonjones7863]

@@DataProfessor cool! Looking forward to that 💪

[@mehraadi09]

Great!!! Please upload more videos on R

[@DataProfessor]

Thanks for watching, will definitely do 😃

[@benbishop7775]

I have a smaller data set so my final Testing plot doesn't have many points. How do I plot all of my data points onto this model? I've looked and can't find this information anywhere!

[@PAULSHOWTO3]

how do you split data data without using random sample method? ( Coz I have time stamps in my dataset that's why won't using random sample)

[@justalittlecod]

this is awesome! trying my own project. any reason i would be getting an error when trying to create my data partition? I included it below
> TrainingIndex

[@mistazed1170]

Hey @data professor. Is it possible to contact you or pay for for a 1 hr teams meeting where I can go through some data and ask questions

[@brianpaviaym3691]

Can you please explain how to use the train function in the caret package if we want to run a regression analysis for a time series data. Let's say for the variables of y (dependent variable) and x1, x2, x3, x4 (independent variables), all are stock index returns

[@RPiao]

I think you can just add ~ x1 + x2 + x3 and so on.