Publications by The Exactness of Mind
Introduction to R for Data Science :: Session 1
Welcome to Introduction to R for Data Science Session 1! The course is co-organized by Data Science Serbia and Startit. You will find all course material (R scripts, data sets, SlideShare presentations, readings) on these pages. [in Serbian] Lecturers dipl. ing Branko Kovač, Data Analyst at CUBE, Data Science Mentor at Springboard, Institut sa...
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Introduction to R for Data Science
Branko Kovač Data Analyst at CUBE, Data Science Mentor at Springboard, Institut savremenih nauka, Data Science Serbia, and Goran S. Milovanović, [email protected], Data Science Serbia, are giving a free introductory course on R for Data Science in Belgrade, Serbia. All course materials – slides, R scripts, data sets, summaries and recommend...
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Introduction to R for Data Science :: Session 2
Welcome to Introduction to R for Data Science Session 2! The course is co-organized by Data Science Serbia and Startit. You will find all course material (R scripts, data sets, SlideShare presentations, readings) on these pages. [in Serbian] Lecturers dipl. ing Branko Kovač, Data Analyst at CUBE, Data Science Mentor at Springboard, Institut sa...
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Introduction to R for Data Science :: Session 3
Welcome to Introduction to R for Data Science Session 3! The course is co-organized by Data Science Serbia and Startit. You will find all course material (R scripts, data sets, SlideShare presentations, readings) on these pages. Welcome to the third session of Introduction to R for Data Science! Check out the Course Overview to acess the learning...
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Introduction to R for Data Science :: Session 4
Welcome to Introduction to R for Data Science Session 4! The course is co-organized by Data Science Serbia and Startit. You will find all course material (R scripts, data sets, SlideShare presentations, readings) on these pages. Welcome to the fourth session of Introduction to R for Data Science! Check out the Course Overview to acess the learnin...
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Introduction to R for Data Science :: Session 5 [Strings in R]
Welcome to Introduction to R for Data Science Session 5: Structuring Data: String manipulation in R. [Strings in R: {base}, {stringr}, and {stringi} packages. String concatenation, splitting, subsetting, and transformation. On encodings in R.] The course is co-organized by Data Science Serbia and Startit. You will find all course material (R scri...
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Introduction to R for Data Science :: Session 6 [Linear Regression Model in R + EDA, and Normality Tests]
Welcome to Introduction to R for Data Science Session 6: Linear Regression + EDA, and Normality tests [Linear Regression in R: Exploratory Data Analysis, assumptions of the simple linear model, correlation, and visualization. Predictions from the linear model. Confidence Intervals and Residuals. Inspecting the basic linear model. Infulential case...
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Introduction to R for Data Science :: Session 7 [Multiple Linear Regression Model in R + Categorical Predictors, Partial and Part Correlation]
Welcome to Introduction to R for Data Science Session 7: Multiple Regression + Dummy Coding, Partial and Part Correlations [Multiple Linear Regression in R. Dummy coding: various ways to do it in R. Factors. Inspecting the multiple regression model: regression coefficients and their interpretation, confidence intervals, predictions. Introducing {...
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Introduction to R for Data Science :: Session 8 [Appendix]
Appendix to Session 8: Intro to Text Mining in R, ML Estimation + Binomial Logistic RegressionWelcome to Introduction to R for Data Science, Session 8: Intro to Text Mining in R, ML Estimation + Binomial Logistic Regression [Web-scraping with tm.plugin.webmining. The tm package corpora structures: assessing document metadata and content. Typica...
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Introduction to R for Data Science :: Session 8 [Intro to Text Mining in R, ML Estimation + Binomial Logistic Regression]
Welcome to Introduction to R for Data Science, Session 8: Intro to Text Mining in R, ML Estimation + Binomial Logistic Regression [Web-scraping with tm.plugin.webmining. The tm package corpora structures: assessing document metadata and content. Typical corpus transformations and Term-Document Matrix production. A simple binomial regression model...
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