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Load in DHFR data, type: librarydatasets and then datadhfr
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Classroom Contents
Machine Learning in R - Repurpose Machine Learning Code for New Data
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- 1 Launch RStudio or RStudio.cloud
- 2 Open iris-data-understanding.R file
- 3 Create a copy of iris-data-understanding.R
- 4 Save as dhfr-data-understanding.R
- 5 What is DHFR?
- 6 Load in DHFR data, type: librarydatasets and then datadhfr
- 7 Perform summary statistics
- 8 Use skimr package to explore the data
- 9 Make a scatter plot
- 10 Make a histogram
- 11 Make feature plots
- 12 Let's build the DHFR classification model
- 13 Load in the libraries
- 14 Set the seed for reproducibility
- 15 Build the training and CV models
- 16 Let's look at prediction results
- 17 Let's make Feature importance plots
