Engineering, 12.12.2019 04:31 oscard1627
You have a pandas dataframe named "surv"containing columns of numeric data collected from a survey before modeling, you choose to scale every variable (column) stored in the dataframe. you decide that each variable should be bounded between 0 and 1 (inclusive). this way, if you see a value close to o, you know it's a low value relative to the other values in that column without needing to know the range of values in the column. select the appropriate code snippet to scale every variable (column) stored in the dataframe: a. surv/ surv. max ()b. surv- surv. min()/(surv. max() - surv. min() c. (surv - surv. / surv. mean()d. (surv- surv. max()/(surv. max() - surv. min()e. surv. quantile([0, 1]) f. (surv- surv./(surv. max() - surv.
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You have a pandas dataframe named "surv"containing columns of numeric data collected from a survey b...
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