Machine Learning in R: Speed up Model Building with Parallel Computing

Do you want to speed up the time that it takes to calculate your machine learning model? In this video, I show you how to speed up your model building by using parallel computing.

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⭕ Timeline
0:30 Launch RStudio or RStudio.cloud
0:34 Download code from "Data Professor" GitHub
1:08 Open dhfr-parallel-speed-up.R file
1:20 1. Load in the DHFR dataset
1:52 2. Check for missing value
1:56 3. Set seed for reproducible model
2:03 4. Data splitting to 80/20 subsets
2:28 Timing our code
4:22 Let's use doParallel for Parallel computing
5:46 Will Parallel computing speed up hyperparameter tuning?
8:21 Concluding remarks

📎DATA: https://raw.githubusercontent.com/dataprofessor/data/master/dhfr.csv
📎CODE: https://github.com/dataprofessor/code/blob/master/dhfr/dhfr-parallel-speed-up.R

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