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Data Science with R

Předmět na Fakulta sociálních věd |
JEM181

Tento text není v aktuálním jazyce dostupný. Zobrazuje se verze "en".Sylabus

Week #1-#2: Course information + R basics (ZM 1, G 3-5)

Week #3: Loading data, cleaning data, sampling (ZM 2-4)

Week #4: Model evaluation (ZM 5)

Week #4-5: Memorization methods (ZM 6)

Week #6: Correlations, linear and logistic regressions and beyond (ZM 7, T4-5)

Week #7: Clustering (T1, ZM 8)

Week #8-#9: Data and text mining sequences (T 2-3)

Week #10: Reducing training variance & Generalized additive models (ZM 9)

Week #11: Machine learning techniques (ZM 9, T 10-12)

Week #12: aLook Analytics presentation

Tento text není v aktuálním jazyce dostupný. Zobrazuje se verze "en".Anotace

Introductory course to Data Science with applications in the R programming environment. Special focus is put on data visualization, data & text mining, and machine learning methods.