GitHub - CahyaPutera/Materi-R: Data Science Fundamentals on OneTwo Code (Learning Materials using R)

Materi DataScience Fundamentals - Using RStudio

Name		Name	Last commit message	Last commit date
datasets		datasets
forecasting		forecasting
ggplot		ggplot
01. intro-to-R.R		01. intro-to-R.R
02. struktur-data.R		02. struktur-data.R
03. finance-solution.R		03. finance-solution.R
04-1. dataframe_tutorial_demographic.R		04-1. dataframe_tutorial_demographic.R
04-1. dataframe_tutorial_retail.R		04-1. dataframe_tutorial_retail.R
04-3. dataframe_tutorial_world.R		04-3. dataframe_tutorial_world.R
05. aggregate.R		05. aggregate.R
06. boxplot.R		06. boxplot.R
07. descriptive_statistics.R		07. descriptive_statistics.R
08. interactive_plot.R		08. interactive_plot.R
09. visualization_tutorial.R		09. visualization_tutorial.R
10. automatic_backward_elimination.R		10. automatic_backward_elimination.R
11. inferential_statistics.R		11. inferential_statistics.R
12. multiple_linear_regression.R		12. multiple_linear_regression.R
13. polynomial_regression.R		13. polynomial_regression.R
14. simple_linear_regression.R		14. simple_linear_regression.R
15-1.classification.R		15-1.classification.R
15-2.classification.R		15-2.classification.R
16. bank-marketing.R		16. bank-marketing.R
17. classification_template.R		17. classification_template.R
18. classificationPlot.R		18. classificationPlot.R
19. classifications.R		19. classifications.R
20. clustering.R		20. clustering.R
21. credit_risk.R		21. credit_risk.R
22. credit_risk_analysis.R		22. credit_risk_analysis.R
23. cross-validation.R		23. cross-validation.R
24. crossvalidation.R		24. crossvalidation.R
25. evaluation.R		25. evaluation.R
26-1. scaling2.R		26-1. scaling2.R
26. scaling.R		26. scaling.R
readme.md		readme.md

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