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J. Fernando Sánchez
2016-03-28 12:26:20 +02:00
parent 65d1dc162f
commit 62f4fce1ed
12 changed files with 816 additions and 773 deletions
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ml1/2_4_Preprocessing.ipynb
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@@ -55,7 +55,7 @@
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@@ -185,12 +185,12 @@
"source": [
"Standardization of datasets is a common requirement for many machine learning estimators implemented in the scikit; they might behave badly if the individual features do not more or less look like standard normally distributed data: Gaussian with zero mean and unit variance.\n",
"\n",
"The preprocessing module further provides a utility class `StandardScaler` to compute the mean and standard deviation on a training set so as to be able to later reapply the same transformation on the testing set."
"The preprocessing module further provides a utility class `StandardScaler` to compute the mean and standard deviation on a training set. Later, the same transformation will be applied on the testing set."
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@@ -205,7 +205,7 @@
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@@ -306,7 +306,7 @@
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