R learning_GIT

1 command line interface 2, computer structure: tree, directory 3, / root directory 4, ~ home directory 5, cd change directory 6, pwd: print working directory 7, mkdir: make a directory 8, cp: copy to 9. mv: move introduction to git   tyoe of data science: descriptive exploratory analysis inferential analysis predictive analysis   sensitivity-> […]

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Data science interview (1)

questions from KD nuggets: Q1: regularization smooth, L1 (lasso), L2 (ridge)   Q3: validation jackknife, mean squared error, R squared   Q4: ROC curve ROC: receiver operation characteristic (ROC) is used to illustrates the performance of a binary classifier system as its discrimination threshold is varied. The curve is created by plotting the true positive rate […]

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