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Sandeep42 · Sep 28, 2024 · ea204de · ea204de
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diff --git a/machine_learning_with_python/02.classical_ml_algorithms.ipynb b/machine_learning_with_python/02.classical_ml_algorithms.ipynb
@@ -5,7 +5,7 @@
    "id": "0dd79036-dbf9-40d8-a812-08c33215f705",
    "metadata": {},
    "source": [
-    "# Traditional ML Algorithms\n",
+    "# Classical ML Algorithms\n",
     "\n",
     "## Algorithms covered\n",
     "\n",

diff --git a/machine_learning_with_python/03.statistics.ipynb b/machine_learning_with_python/03.statistics.ipynb
@@ -5,6 +5,8 @@
    "id": "6e1f23ec-1ac5-4b12-9643-ae096892b531",
    "metadata": {},
    "source": [
+    "# Statistics\n",
+    "\n",
     "## Hypothesis Testing\n",
     "\n",
     "* Make informed decisions from data\n",

diff --git a/machine_learning_with_python/04.metrics_loss_functions_biases.ipynb b/machine_learning_with_python/04.metrics_loss_functions_biases.ipynb
@@ -5,6 +5,8 @@
    "id": "60f775c8-4c13-4bfe-bd04-b94a2da2f2d0",
    "metadata": {},
    "source": [
+    "# Metrics and Biases\n",
+    "\n",
     "#### Biases in ML systems\n",
     "\n",
     "##### Data Biases\n",
@@ -143,6 +145,30 @@
     "confusion_matrix(np.array([0,1,0,1,1]),np.array([0.3,0.9,0.9,0.6,0.4]))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "4f6e819b-b0e1-4b6d-9a8e-123a4222af55",
+   "metadata": {},
+   "source": [
+    "#### Imbalanced datasets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a4c692fe-0cda-4053-8699-4d3e30863687",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d3916a22-41e9-4040-bf67-19c48774100a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "id": "348ac6df-bad8-4426-bfec-41feb7231064",

diff --git a/machine_learning_with_python/06.nlp_with_prompt_engineering.ipynb b/machine_learning_with_python/06.nlp_with_prompt_engineering.ipynb
@@ -5,7 +5,7 @@
    "id": "f8331a56-3ce2-4fc8-809b-100f3c9cde34",
    "metadata": {},
    "source": [
-    "# NLP Text Classfication Models\n",
+    "# NLP with Prompt Engineering\n",
     "\n",
     "### Importing libraries"
    ]