Web Apps in R: Building the Machine Learning Web Application in R | Shiny Tutorial Ep 4

In this R Shiny tutorial video, I will be demonstrating how you can build an Iris Predictor which deploys a machine learning model of the Iris dataset using the Shiny web framework package in the R programming language.

⭕ TIMESTAMP
0:00 Introduction
0:47 Go to Data Professor GitHub
0:54 Go to shiny/004-iris-predictor
1:01 Download the 3 .R files
1:37 Let's run the Iris Predictor web app
6:09 Run the model.R file
6:33 Overview of the app-numeric.R file
7:09 1) User interface (UI)
8:29 HTML()
9:09 "label" argument is the textbox label
11:36 2) server component
11:41 Data frame for taking in input parameters
12:01 CSV file containing input parameters will be generated
12:15 Prediction results will be sent to output$tabledata
12:55 In-depth look at the datasetInput object
14:23 Overview of the app-slider.R
15:27 sliderInput()

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[DataProfessor]

🤔QUESTION OF THE DAY: Are you new to R and Shiny? How do you use R or Shiny in your projects?
Please share your Comments down below! 😃
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[vaniedavystephanekouakoubi]

Amazing tutorial, thank you so much professor.

[javierguty]

Thanks, this tutorial is so useful! Great way to start exploring Shiny!

[asgerlarsen]

Great tutorial! This series really helped me get into deploying my machine learning algorithms.
I was wondering if you could make a guide on how to store the data inputs and estimated output in a datatable?
I'm trying to do this myself, but I'm having problems storing the output in the table.
Really appriciate the work that you are doing.

[sohanchidvilasbodapati]

How to do same project for decision tree and svm

[cksap]

Great video and thanks for sharing it...

[evelynyemu]

Great tutorial, would you have some tutorials on Shiny for predicting a continuous response variable?. Kindly share if you have any videos or links one can use. Thanks

[simonchantack]

Great video!
My question is why did you create a csv file ("input.csv") and then read it back in as data frame ("test") to perform the predictions?
Could you not just send the data frame ("input") to the predict() function?

[allengrau]

Hi Data Professor,
Thank you for all your great videos and always answering the comments. Is there a way to make the font size of the output table (prediction results table) bigger?

[nguyencuonqt]

Thank you Data professor for the great tutorial. There is an issue when I run the app on R studio (numeric.app), the error: 'arg' should be one of “link”, “response”, “terms”, has happened. Please show me why and how to fix it. Thanks.

[augustoc.romero]

You should try to associate yourself with some organization so they sponsor your content, your stuff is really good.

[peteratim]

Good day sir, can i deploy this to a real web app for the analysis ?

[jannahni]

Can you do a tutorial on R and Shiny how you can group categorical variables?

[albertobusconi]

what do you think about an application development regarding the management of financial portfolios (asset management/management portfolios)? It could be possible? Thanks!

[MatheusGuitarRock]

hello Data Professor, amazing video! I need your help, please. I reproduce your video information on my machine learning model, I not use ramdomforest but
neural network. When I running the UI, the mensagem is about error on h2o frame work. My question is, how I can use the h20 package to the same case that your. Is there a necessary to convert some h2o information to deploy the model? Thanks for answer.

[wirantowidotomo]

Hai profesor, i want to ask to you. How build this project for regression? Thank youu

[adetunjiphilip]

hi, i really loved your tutorial they so easy to understand as a beginner but i started having some errors when i got to the part of deploying models in r shiny the play glof its giving this error

Warning in randomForest.default(m, y, ...) :
The response has five or fewer unique values. Are you sure you want to do regression?
Warning in mean.default(y) :
argument is not numeric or logical: returning NA
Error in y - ymean : non-numeric argument to binary operator

pls how can i go about it

and for the iris it is not displaying result

[himanshusharma-uqeh]

i tried to build similar application on my model.
but getting this error during click on submit button
Error in data.frame: arguments imply differing number of rows: 39, 8.
any suggesstion.

[allengrau]

Hi Data Professer
Thank you for this great video. I am looking to deploy a random forest model just as you have shown, I am looking forward to try out what you have done. I have zero programming background but have managed to complete my model. My question: If I make this web application and save all the files on a server my team colleagues have access to, will they be able to use the web application (i.e just enter the link into the browser on their computer) without having R on their computer?
Thanks for your answer.

[kartikjadhav]

Hi, Awesome Tutorial !!
However am getting this error :
" could not find function "createDataPartition" "
Caret Library was successfully installed and loaded, still the error occurs