From cec7c80ab43eaafa0d8932ce2022d8b17851a07b Mon Sep 17 00:00:00 2001 From: Omid Heydari <90824839+omidhey@users.noreply.github.com> Date: Sat, 8 Mar 2025 19:49:10 +0330 Subject: [PATCH] Update 02 Feature Selection and Extraction.ipynb MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit سلام علی جان چرا در مثال مقدار ضریب ویژگی های ۲ و ۵ که از همه مهمتره کوچکتر شده؟! --- .../02 Feature Selection and Extraction.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Lectures/02 ML Fundamentals/02 Feature Selection and Extraction.ipynb b/Lectures/02 ML Fundamentals/02 Feature Selection and Extraction.ipynb index 94567d4..7c0adab 100644 --- a/Lectures/02 ML Fundamentals/02 Feature Selection and Extraction.ipynb +++ b/Lectures/02 ML Fundamentals/02 Feature Selection and Extraction.ipynb @@ -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" ] }, {