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Lecture 1: Git, RMarkdown & Portfolio
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Lecture 2: dplyr and ggplot2
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Lecture 3: tidyr and purrr
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Lecture 4: Linear regression
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Lecture 5: Cross validation with tidymodels
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Lecture 6: Tree based models
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Lecture 7: Boosted Tree
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Lecture 8: GLM
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Lecture 9: Deep learning in R
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Lecture 10: Deep learning in R