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Update 02 Feature Selection and Extraction.ipynb #1

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2 changes: 1 addition & 1 deletion Lectures/02 ML Fundamentals/02 Feature Selection and Extraction.ipynb
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Expand Up @@ -595,7 +595,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Ridge regression adds an L2 regularization term to the linear regression objective function. The L2 penalty shrinks the coefficients of less important features towards zero, but does not eliminate them completely. Features with larger absolute coefficients are considered more important.\n"
"Ridge regression adds an L2 regularization term to the linear regression objective function. The L2 penalty shrinks the coefficients of less important features towards zero, but does not eliminate them completely. Features with larger absolute coefficients are considered more important?!!!!??? [In example lower absolute coefficients are considered more important].\n"
]
},
{
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