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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.
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lectures/19_time-series.html

@@ -1807,7 +1807,9 @@ <h3>Encoding time of day as a categorical feature<a class="headerlink" href="#en
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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.
-Train-set R^2: 0.87
+</pre></div>
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+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Train-set R^2: 0.87
 Test-set R^2: 0.85
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@@ -2328,7 +2330,7 @@ <h2>Lag-based features<a class="headerlink" href="#lag-based-features" title="Pe
 Test-set R^2: 0.69
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 <p>The results are better than <code class="docutils literal notranslate"><span class="pre">Ridge</span></code> with lag features but they are not as good as the results with our previously engineered features. How about combining lag-based features and the previously extracted features?</p>
@@ -2347,11 +2349,11 @@ <h2>Lag-based features<a class="headerlink" href="#lag-based-features" title="Pe
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-<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
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Train-set R^2: 0.95
+Test-set R^2: 0.81
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-<img alt="../_images/b0a7e1d5a49f4ed2ed8a16cce855565a4b2be320bccefe01777eea067c3e4203.png" src="../_images/b0a7e1d5a49f4ed2ed8a16cce855565a4b2be320bccefe01777eea067c3e4203.png" />
+<img alt="../_images/c08f86cea0da2332b3a196db5d3390cc21994b5430be9b839d21ab9f5081e989.png" src="../_images/c08f86cea0da2332b3a196db5d3390cc21994b5430be9b839d21ab9f5081e989.png" />
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 <p>Some improvement but we are getting better results without the lag features in this case.</p>
@@ -2451,36 +2453,36 @@ <h3>Cross-validation<a class="headerlink" href="#cross-validation" title="Permal
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       <th>0</th>
-      <td>0.001065</td>
-      <td>0.000278</td>
+      <td>0.001153</td>
+      <td>0.000276</td>
       <td>0.642676</td>
       <td>0.873182</td>
     </tr>
     <tr>
       <th>1</th>
-      <td>0.000933</td>
-      <td>0.000739</td>
+      <td>0.000582</td>
+      <td>0.000271</td>
       <td>0.828405</td>
       <td>0.874305</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>0.000750</td>
-      <td>0.000254</td>
+      <td>0.000849</td>
+      <td>0.000296</td>
       <td>0.773851</td>
       <td>0.901262</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>0.000604</td>
-      <td>0.000221</td>
+      <td>0.000994</td>
+      <td>0.000748</td>
       <td>0.696712</td>
       <td>0.889429</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>0.001104</td>
-      <td>0.000630</td>
+      <td>0.000959</td>
+      <td>0.000304</td>
       <td>0.892733</td>
       <td>0.863889</td>
     </tr>

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.
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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.
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