add autogluon

Author: khuyentran1401

Chapter5/machine_learning.ipynb

@@ -2494,9 +2494,7 @@
    "id": "35aec697",
    "metadata": {},
    "source": [
-    "The traditional scikit-learn approach requires extensive manual work, including data preprocessing, model selection, and hyperparameter tuning.\n",
-    "\n",
-    "In contrast, AutoGluon automates these tasks, allowing you to train and deploy accurate models with minimal code."
+    "The traditional scikit-learn approach requires extensive manual work, including data preprocessing, model selection, and hyperparameter tuning."
    ]
   },
   {
@@ -2544,6 +2542,14 @@
     "```"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "d50ebd2f",
+   "metadata": {},
+   "source": [
+    "In contrast, AutoGluon automates these tasks, allowing you to train and deploy accurate models with minimal code."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "25742686",

docs/Chapter5/machine_learning.html

@@ -1943,7 +1943,6 @@ <h2><span class="section-number">6.5.17. </span>Rapid Prototyping and Comparison
 <section id="autogluon-fast-and-accurate-ml-in-3-lines-of-code">
 <h2><span class="section-number">6.5.18. </span>AutoGluon: Fast and Accurate ML in 3 Lines of Code<a class="headerlink" href="#autogluon-fast-and-accurate-ml-in-3-lines-of-code" title="Permalink to this heading">#</a></h2>
 <p>The traditional scikit-learn approach requires extensive manual work, including data preprocessing, model selection, and hyperparameter tuning.</p>
-<p>In contrast, AutoGluon automates these tasks, allowing you to train and deploy accurate models with minimal code.</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">sklearn.impute</span> <span class="kn">import</span> <span class="n">SimpleImputer</span>
 <span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="kn">import</span> <span class="n">OneHotEncoder</span><span class="p">,</span> <span class="n">StandardScaler</span>
 <span class="kn">from</span> <span class="nn">sklearn.compose</span> <span class="kn">import</span> <span class="n">ColumnTransformer</span>
@@ -1982,6 +1981,7 @@ <h2><span class="section-number">6.5.18. </span>AutoGluon: Fast and Accurate ML
 <span class="n">grid_search</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_test</span><span class="p">)</span>
 </pre></div>
 </div>
+<p>In contrast, AutoGluon automates these tasks, allowing you to train and deploy accurate models with minimal code.</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">autogluon.tabular</span> <span class="kn">import</span> <span class="n">TabularPredictor</span>
 
 <span class="n">predictor</span> <span class="o">=</span> <span class="n">TabularPredictor</span><span class="p">(</span><span class="n">label</span><span class="o">=</span><span class="s2">&quot;class&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">train_data</span><span class="p">)</span>

docs/_sources/Chapter5/machine_learning.ipynb

@@ -2494,9 +2494,7 @@
    "id": "35aec697",
    "metadata": {},
    "source": [
-    "The traditional scikit-learn approach requires extensive manual work, including data preprocessing, model selection, and hyperparameter tuning.\n",
-    "\n",
-    "In contrast, AutoGluon automates these tasks, allowing you to train and deploy accurate models with minimal code."
+    "The traditional scikit-learn approach requires extensive manual work, including data preprocessing, model selection, and hyperparameter tuning."
    ]
   },
   {
@@ -2544,6 +2542,14 @@
     "```"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "d50ebd2f",
+   "metadata": {},
+   "source": [
+    "In contrast, AutoGluon automates these tasks, allowing you to train and deploy accurate models with minimal code."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "25742686",