--- a
+++ b/notebooks/data/processing.ipynb
@@ -0,0 +1,91 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import warnings\n",
+    "import pandas as pd\n",
+    "\n",
+    "warnings.filterwarnings('ignore')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load the noisy dataset.\n",
+    "original = pd.read_csv('../../data/raw/original.csv')\n",
+    "synthetic = pd.read_csv('../../data/raw/synthetic.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Process the the datasets.\n",
+    "original = original.drop_duplicates().dropna()\n",
+    "synthetic = synthetic.drop_duplicates().dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Feature engineering\n",
+    "original[['GENDER', 'LUNG_CANCER']] = original[['GENDER', 'LUNG_CANCER']].replace({'M': 1, 'F': 2, 'YES': 1, 'NO': 0})\n",
+    "synthetic[['GENDER', 'LUNG_CANCER']] = synthetic[['GENDER', 'LUNG_CANCER']].replace({'M': 1, 'F': 2, 'YES': 1, 'NO': 0})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dataset processed.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Saved dataset\n",
+    "original.to_csv('../../data/processed/original.csv', index=False)\n",
+    "synthetic.to_csv('../../data/processed/synthetic.csv', index=False)\n",
+    "\n",
+    "print('Dataset processed.')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}