automl

Author: priyankatuteja

samples/04_gis_analysts_data_scientists/house_price_prediction_using_automl.ipynb

@@ -5,15 +5,15 @@
    "id": "93be01a8",
    "metadata": {},
    "source": [
-    "### Property valuation in King County (USA) using AutoML and Geo-Enriched data"
+    "# Property valuation in King County (USA) using AutoML and Geo-Enriched data"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "b48ce718",
    "metadata": {},
    "source": [
-    "### Table of Content"
+    "## Table of Content"
    ]
   },
   {
@@ -38,7 +38,7 @@
    "id": "13f88e88",
    "metadata": {},
    "source": [
-    "### Introduction <a id='Introduction'></a>"
+    "## Introduction <a id='Introduction'></a>"
    ]
   },
   {
@@ -58,7 +58,7 @@
    "id": "78eb87ee",
    "metadata": {},
    "source": [
-    "### Necessary imports <a id='Necessary-Imports'></a>"
+    "## Necessary imports <a id='Necessary-Imports'></a>"
    ]
   },
   {
@@ -429,6 +429,22 @@
     "The dataframe table has 20 fields describing the homes and their sale prices, along with `ObjectID` and `Shape fields`."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "beed5f43",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eb813cac",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "id": "caf6af49",
@@ -7738,9 +7754,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:dl-env] *",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "conda-env-dl-env-py"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -7752,7 +7768,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.15"
+   "version": "3.9.11"
   }
  },
  "nbformat": 4,