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diff --git a/_images/5a8499c8457bebcd85ed93f9b8c873e117cc6075056a72cb69b14d545ff786dc.png b/_images/5a8499c8457bebcd85ed93f9b8c873e117cc6075056a72cb69b14d545ff786dc.png
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diff --git a/_sources/lectures/19_time-series.ipynb b/_sources/lectures/19_time-series.ipynb
diff --git a/lectures/17_natural-language-processing.html b/lectures/17_natural-language-processing.html
@@ -500,7 +500,7 @@ <h2>Imports<a class="headerlink" href="#imports" title="Permalink to this headin
 Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
 </pre></div>
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-<img alt="../_images/66fb019b907d7259341c9ab23de87acfbf2272d63a595e10951cb493079e5917.png" src="../_images/66fb019b907d7259341c9ab23de87acfbf2272d63a595e10951cb493079e5917.png" />
+<img alt="../_images/5a8499c8457bebcd85ed93f9b8c873e117cc6075056a72cb69b14d545ff786dc.png" src="../_images/5a8499c8457bebcd85ed93f9b8c873e117cc6075056a72cb69b14d545ff786dc.png" />
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diff --git a/lectures/19_time-series.html b/lectures/19_time-series.html
@@ -1395,7 +1395,8 @@ <h3>Encoding time of day as a categorical feature<a class="headerlink" href="#en
 </div>
 </div>
 <ul class="simple">
-<li><p>What if we add interaction features (e.g., something like Day == 5 and hour == 9:00)</p></li>
+<li><p>The scores are a bit better now.</p></li>
+<li><p>What if we add interaction features (e.g., something like Day == Mon and hour == 9:00)</p></li>
 <li><p>We can do it using <code class="docutils literal notranslate"><span class="pre">sklearn</span></code>’s <code class="docutils literal notranslate"><span class="pre">PolynomialFeatures</span></code> transformer.</p></li>
 </ul>
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@@ -1790,16 +1791,14 @@ <h3>Encoding time of day as a categorical feature<a class="headerlink" href="#en
 </div>
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 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Train-set R^2: 0.87
+Train-set R^2: 0.87
 Test-set R^2: 0.85
 </pre></div>
 </div>
 <img alt="../_images/85412bb536ae0a97c3176419ba4ca35b40a9ec0b6e8f08c287256ec40504844e.png" src="../_images/85412bb536ae0a97c3176419ba4ca35b40a9ec0b6e8f08c287256ec40504844e.png" />
 </div>
 </div>
-<p>Let’s examine the coefficients learned by <code class="docutils literal notranslate"><span class="pre">Ridge</span></code>.</p>
+<p>The scores are much better now. Since we are using a linear model, we can examine the coefficients learned by <code class="docutils literal notranslate"><span class="pre">Ridge</span></code>.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">features_nonzero</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">features_poly</span><span class="p">)[</span><span class="n">lr</span><span class="o">.</span><span class="n">coef_</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">]</span>
@@ -2301,10 +2300,10 @@ <h3>Lag-based features<a class="headerlink" href="#lag-based-features" title="Pe
 </div>
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Train-set R^2: 0.95
-Test-set R^2: 0.67
+Test-set R^2: 0.69
 </pre></div>
 </div>
-<img alt="../_images/b3593ccaf9f3e3a95cc55aeb81ff8ece760a3da6c315f3ff9a829f57bdbbb1cd.png" src="../_images/b3593ccaf9f3e3a95cc55aeb81ff8ece760a3da6c315f3ff9a829f57bdbbb1cd.png" />
+<img alt="../_images/7223e773cbadb77981275668076fd8b598d1896c8f8684dd0ed7e4433a5835f4.png" src="../_images/7223e773cbadb77981275668076fd8b598d1896c8f8684dd0ed7e4433a5835f4.png" />
 </div>
 </div>
 <p>The results are not as good as the results with our previously engineered features. How about combining lag-based features and the previously extracted features?</p>
@@ -2323,11 +2322,11 @@ <h3>Lag-based features<a class="headerlink" href="#lag-based-features" title="Pe
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Train-set R^2: 0.95
-Test-set R^2: 0.77
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Train-set R^2: 0.96
+Test-set R^2: 0.79
 </pre></div>
 </div>
-<img alt="../_images/d222baec77c4f3529c49f7f76fd3c193d0954df4b73bc82c4d50963815f74515.png" src="../_images/d222baec77c4f3529c49f7f76fd3c193d0954df4b73bc82c4d50963815f74515.png" />
+<img alt="../_images/5ba8227a9e8d225c25cd9b9c819610ec41de3ce74d40205ce41e2ce909254e6d.png" src="../_images/5ba8227a9e8d225c25cd9b9c819610ec41de3ce74d40205ce41e2ce909254e6d.png" />
 </div>
 </div>
 <p>Some improvement but we are getting better results without the lag features in this case.</p>
@@ -2428,36 +2427,36 @@ <h3>Cross-validation<a class="headerlink" href="#cross-validation" title="Permal
   <tbody>
     <tr>
       <th>0</th>
-      <td>0.000782</td>
-      <td>0.000268</td>
+      <td>0.000962</td>
+      <td>0.000299</td>
       <td>0.642676</td>
       <td>0.873182</td>
     </tr>
     <tr>
       <th>1</th>
-      <td>0.000537</td>
-      <td>0.000225</td>
+      <td>0.000655</td>
+      <td>0.000292</td>
       <td>0.828405</td>
       <td>0.874305</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>0.001041</td>
-      <td>0.000754</td>
+      <td>0.000706</td>
+      <td>0.000265</td>
       <td>0.773851</td>
       <td>0.901262</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>0.000965</td>
-      <td>0.000645</td>
+      <td>0.001002</td>
+      <td>0.000751</td>
       <td>0.696712</td>
       <td>0.889429</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>0.000953</td>
-      <td>0.000227</td>
+      <td>0.000813</td>
+      <td>0.000245</td>
       <td>0.892733</td>
       <td>0.863889</td>
     </tr>
@@ -2482,10 +2481,10 @@ <h2>Forecasting further into the future<a class="headerlink" href="#forecasting-
 </div>
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Train-set R^2: 0.94
-Test-set R^2: 0.67
+Test-set R^2: 0.69
 </pre></div>
 </div>
-<img alt="../_images/57a105a80af0556d72b80b57e68117748634c0c1e316ddd16a79fa0500de3663.png" src="../_images/57a105a80af0556d72b80b57e68117748634c0c1e316ddd16a79fa0500de3663.png" />
+<img alt="../_images/a99b49081b28890e9e721b1cc202f8dcd0d80b49ae50de01f10b5b12386b3c60.png" src="../_images/a99b49081b28890e9e721b1cc202f8dcd0d80b49ae50de01f10b5b12386b3c60.png" />
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 <ul class="simple">

diff --git a/lectures/class_demos/14_class-demo.html b/lectures/class_demos/14_class-demo.html
@@ -387,7 +387,7 @@ <h2>Let’s cluster images!!<a class="headerlink" href="#let-s-cluster-images" t
 Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
 </pre></div>
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-<img alt="../../_images/80c69416a28068b32b7d995d381f0f6529018f772b668445946422c8a757b384.png" src="../../_images/80c69416a28068b32b7d995d381f0f6529018f772b668445946422c8a757b384.png" />
+<img alt="../../_images/e2fbe152d5cbb22abce858b1950883edf4f4a1295ffabb5b8d55558ef031c635.png" src="../../_images/e2fbe152d5cbb22abce858b1950883edf4f4a1295ffabb5b8d55558ef031c635.png" />
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diff --git a/lectures/class_demos/15_class-demo.html b/lectures/class_demos/15_class-demo.html
@@ -380,7 +380,7 @@ <h1>Lecture 15: Class demo<a class="headerlink" href="#lecture-15-class-demo" ti
 Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
 </pre></div>
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-<img alt="../../_images/cd421f298341966020aaca456a1ec51bd32aa33fe8d8c23adab33865026b7809.png" src="../../_images/cd421f298341966020aaca456a1ec51bd32aa33fe8d8c23adab33865026b7809.png" />
+<img alt="../../_images/c78df450bb22e3e9f8b73099149ff949bbe9911b14991ccb4b5549e617072e96.png" src="../../_images/c78df450bb22e3e9f8b73099149ff949bbe9911b14991ccb4b5549e617072e96.png" />
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diff --git a/searchindex.js b/searchindex.js