Machine Learning in R: Building a Linear Regression Model

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

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

JJ-iope
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Thank you! You are fantastic!! Love from Norway

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

jeffersonjones
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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!

benbishop
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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)

PAULSHOWTO
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Great!!! Please upload more videos on R

mehraadi
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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 <- createDataPartition(test_data$medv, p=0.8, list = FALSE)
Error in createDataPartition(test_data$medv, p = 0.8, list = FALSE)



y must have at least 2 data points
In addition: Warning message:
Unknown or uninitialised column: `medv`.

justalittlecod
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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

mistazed
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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

brianpaviaym