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Note on data science with R

Topic

  1. data.table and dplyr: R_datatable_dplyr

  2. stringr and Regular Expression: Regular_Expression

  3. ggplot, choropleth, treemap: R_ggplot_Choropleth_Treemap

  4. Open data API, json: TaipeiOpenDataAPI_HTTP_XML

  5. webscraping with rvest (CSS selector, Xpath): Webscraping

Machine Learning

  1. logistic_LDA_QDA_KNN

  2. DecisionTrees_ClassificationTree

  3. RegressionTrees_RandomForest_Boosting


References

I. 曾意儒副教授, 資料科學與R語言

II. Hadley Wickham, R for Data Science

III. Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani, An Introduction to Statistical Learning with Applications in R

IV. Trevor Hastie, Robert Tibshirani and Jerome Friedman, The Elements of Statistical Learning

V. Other resource on the Internet…

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Some Person  •  2022  •  Santen.com

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