fix sample notebook link, and removed duplicate entry.

Author: vbhv14

guide/02-api-overview/release-notes.ipynb

@@ -60,15 +60,14 @@
     " * Adds [Clone StoryMap Version 2](https://developers.arcgis.com/python/sample-notebooks/clone-storymap-version2)\n",
     " * Adds [Find the top 'n' items in your org](https://developers.arcgis.com/python/sample-notebooks/find-the-top-n-items-in-your-org)\n",
     "* GIS Analysts and Data Scientists\n",
-    " * Adds [Classification of Raw Point Clouds using Deep Learning & generating 3D Building Models](https://developers.arcgis.com/python/sample-notebooks/classification-of-raw-point-clouds-using-deep-learning-&-generating-3d-building_models)\n",
     " * Adds [Prediction of energy generation from Solar Photovoltaic Power Plants using weather variables](https://developers.arcgis.com/python/sample-notebooks/solar-energy-prediction-using-weather-variables)\n",
     " * Adds [Detection of electric utility features and vegetation encroachments from satellite images using deep learning](https://developers.arcgis.com/python/sample-notebooks/detection-of-electric-utility-features-and-vegetation-encroachments-from-satellite-images-using-deep-learning)\n",
     " * Adds [River Turbidity Estimation using Sentinel-2 data](https://developers.arcgis.com/python/sample-notebooks/river-turbidity-estimation-using-sentinel2-data-)\n",
     " * Adds [Mapping Infrastructural Damage due to Beirut Blast](https://developers.arcgis.com/python/sample-notebooks/infrastructural-damage-due-to-blast-in-beirut)\n",
     " * Adds [Coastline extraction using Landsat-8 multispectral imagery and band ratio technique](https://developers.arcgis.com/python/sample-notebooks/coastline-extraction-usa-landsat8-multispectral-imagery)\n",
     " * Adds [Identifying country names from incomplete house addresses](https://developers.arcgis.com/python/sample-notebooks/identifying-country-names-from-incomplete-house-addresses)\n",
     " * Adds [SAR to RGB image translation using CycleGAN](https://developers.arcgis.com/python/sample-notebooks/04_gis_analysts_data_scientists/sar_to_rgb_image_translation_using_cyclegan)\n",
-    " * Adds [Creating building models using point cloud classification](https://developers.arcgis.com/python/sample-notebooks/creating-buiding-models-using-point-clout-classfication)\n",
+    " * Adds [Creating building models using point cloud classification](https://developers.arcgis.com/python/sample-notebooks/creating-building-models-using-point-cloud-classification)\n",
     " * Adds [Automatic road extraction using deep learning](https://developers.arcgis.com/python/sample-notebooks/automatic-road-extraction-using-deep-learning)"
    ]
   },
@@ -3032,7 +3031,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.2"
+   "version": "3.6.10"
   },
   "toc": {
    "base_numbering": 1,