Machine Learning in R: Deploy Machine Learning Model using RDS

Описание: In this video, I will show you how to deploy a machine learning model (a classification model of DHFR dataset) in the R programming language by saving it to disk as a RDS file. Then, we will load back the model by reading the RDS file and make a prediction on the test dataset.

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⭕ Timeline
0:36 Open up RStudio or RStudio.cloud
0:47 Let's modify the DHFR-classification.R file from the previous episode (https://github.com/dataprofessor/code...)
1:02 Save file as DHFR-classification-deploy.R (https://github.com/dataprofessor/code...)
1:10 Sequentially run the code line by line
3:25 Training Model will be saved as RDS file
3:47 Let's save the ML model as RDS file
3:56 saveRDS(Model, "Model.RDS")
4:43 Let's read in the ML model from RDS file
4:55 read.Model - readRDS("Model.rds")
6:08 Let's hit the broom icon to clear the environment
6:20 Re-run the code again line by line
6:38 Time to read in the ML model from RDS file

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https://github.com/dataprofessor/code...

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✅ Python Data Science Project: https://bit.ly/dataprofessor-python-ds
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✅ R for Data Science : https://amzn.to/2YCPcgW
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