fix sample notebook link, and removed duplicate entry.
" * 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 [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)"
]
},
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.2"
+ "version": "3.6.10"
},
"toc": {
"base_numbering": 1,
