Address comments

notebooks/official/feature_store/feature_monitoring_with_feature_registry.ipynb

@@ -1,15 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "view-in-github",
-        "colab_type": "text"
-      },
-      "source": [
-        "<a href=\"https://colab.research.google.com/github/alicechang0909/vertex-ai-samples/blob/main/notebooks/official/feature_store/feature_monitoring_with_feature_registry.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
-      ]
-    },
     {
       "cell_type": "code",
       "execution_count": null,
@@ -39,7 +29,7 @@
         "id": "JAPoU8Sm5E6e"
       },
       "source": [
-        "## Feature Monitoring in Vertex AI Featurestore\n",
+        "## Feature Monitoring in Vertex AI Feature Store\n",
         "\n",
         "<table align=\"left\">\n",
         "  <td style=\"text-align: center\">\n",
@@ -73,7 +63,7 @@
       "source": [
         "## Overview\n",
         "\n",
-        "In this tutorial, you will learn how to use the Vertex AI SDK for Python to monitor feature data in Vertex AI featurestore\n",
+        "In this tutorial, you will learn how to use the Vertex AI SDK for Python to monitor feature data in Vertex AI Feature Store\n",
         "\n",
         "This tutorial uses the following Google Cloud ML services and resources:\n",
         "\n",
@@ -219,7 +209,7 @@
       "outputs": [],
       "source": [
         "# change to your own project id\n",
-        "PROJECT_ID = \"\"  # @param {type:\"string\"}\n",
+        "PROJECT_ID = \"[your-project-id]\"  # @param {type:\"string\"}\n",
         "LOCATION = \"us-central1\"  # @param {type:\"string\"}\n",
         "\n",
         "import vertexai\n",
@@ -517,7 +507,7 @@
       "source": [
         "### Execute a FeatureMonitorJob\n",
         "\n",
-        "FeatureMonitorJob will be excuted in two ways:\n",
+        "FeatureMonitorJob will be executed in two ways:\n",
         "1. Automatically executed in scheduled time set the schedule_config in FeatureMonitor.\n",
         "2. Manually trigger. In the following sections we will manually trigger monitor job to observe stats and drifts.\n",
         "\n",
@@ -682,7 +672,7 @@
         "id": "8u4yzoSDHncf"
       },
       "source": [
-        "Drifts happen when data in Feature Offline Store (BQ Source) changes overtime. Every Feature Monitor job will caculate drift comparing the data snapshot in the new job with the data snapshot in last job.\n",
+        "Drifts happen when data in Feature Offline Store (BQ Source) changes overtime. Every Feature Monitor job will calculate drift comparing the data snapshot in the new job with the data snapshot in last job.\n",
         "\n",
         "Algorithm to calculate drift score:\n",
         "* For Categorical type: [L-infinity](https://en.wikipedia.org/wiki/Chebyshev_distance) distance.\n",
@@ -802,7 +792,7 @@
         "id": "07i-yw89LsUL"
       },
       "source": [
-        "Observe the full stastics and drift"
+        "Observe the full statistics and drift"
       ]
     },
     {
@@ -943,31 +933,11 @@
   "metadata": {
     "colab": {
       "toc_visible": true,
-      "provenance": [],
-      "include_colab_link": true
-    },
-    "environment": {
-      "kernel": "conda-base-py",
-      "name": "workbench-notebooks.m126",
-      "type": "gcloud",
-      "uri": "us-docker.pkg.dev/deeplearning-platform-release/gcr.io/workbench-notebooks:m126"
+      "provenance": []
     },
     "kernelspec": {
-      "display_name": "Python 3 (ipykernel)",
-      "language": "python",
-      "name": "conda-base-py"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.10.15"
+      "display_name": "Python 3",
+      "name": "python3"
     }
   },
   "nbformat": 4,