update week 39

doc/pub/week39/html/week39-reveal.html

@@ -303,6 +303,9 @@ ypredictRidge = gridsearch.predict(X_test)
 </pre></div>
 <p>
 By default the grid search function includes cross validation with five folds. The <a href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html#sklearn.model_selection.GridSearchCV" target="_blank">Scikit-Learn documentation</a> contains more information on how to set the different parameters.
+
+<p>
+If we take out the random noise, running the above codes results in \( \lambda=0 \) yielding the best fit.
 </section>
 
 

doc/pub/week39/html/week39-solarized.html

@@ -388,6 +388,9 @@ ypredictRidge = gridsearch.predict(X_test)
 <p>
 By default the grid search function includes cross validation with five folds. The <a href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html#sklearn.model_selection.GridSearchCV" target="_blank">Scikit-Learn documentation</a> contains more information on how to set the different parameters.
 
+<p>
+If we take out the random noise, running the above codes results in \( \lambda=0 \) yielding the best fit.
+
 <p>
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
 

doc/pub/week39/html/week39.html

@@ -393,6 +393,9 @@ ypredictRidge <span style="color: #666666">=</span> gridsearch<span style="color
 <p>
 By default the grid search function includes cross validation with five folds. The <a href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html#sklearn.model_selection.GridSearchCV" target="_blank">Scikit-Learn documentation</a> contains more information on how to set the different parameters.
 
+<p>
+If we take out the random noise, running the above codes results in \( \lambda=0 \) yielding the best fit.
+
 <p>
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
 

doc/pub/week39/ipynb/week39.ipynb

@@ -176,6 +176,9 @@
    "source": [
     "By default the grid search function includes cross validation with five folds. The [Scikit-Learn documentation](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html#sklearn.model_selection.GridSearchCV) contains more information on how to set the different parameters.\n",
     "\n",
+    "If we take out the random noise, running the above codes results in $\\lambda=0$ yielding the best fit. \n",
+    "\n",
+    "\n",
     "## Randomized Grid Search\n",
     "\n",
     "An alternative to the above manual grid set up, is to use a random\n",

doc/src/week39/week39.do.txt

@@ -139,6 +139,9 @@ print(f"R2 score: {R2(y_test,ypredictRidge)}")
 
 By default the grid search function includes cross validation with five folds. The "Scikit-Learn documentation":"https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html#sklearn.model_selection.GridSearchCV" contains more information on how to set the different parameters.
 
+If we take out the random noise, running the above codes results in $\lambda=0$ yielding the best fit. 
+
+
 !split
 ===== Randomized Grid Search =====