remove unnecessary hyperlinks
"### [Guides](../)\n",
"* [Install and Setup](../guide/install-and-set-up/)\n",
" * Adds [`Install in Google Collab`](../guide/install-and-set-up/#install-in-google-colaboratory) section\n",
- "* [Deep Learning with ArcGIS])(../guide/)\n",
- " * [2d Computer Vision](../guide)\n",
- " * [Pixel Classification](../guide)\n",
+ "* [Deep Learning with ArcGIS](../guide/)\n",
+ " * [2d Computer Vision]\n",
+ " * [Pixel Classification]\n",
" * [How PSETAE works](../guide/how-PSETAE-works)\n",
" \n",
"### [Samples](/python/samples/)\n",
"* [GIS analysts and data sciencists](/python/samples)\n",
" * [Tonga Volcano Eruption - SO2 Analysis](/python/samples/tonga-volcano-eruption-2022)\n",
"* [Advanced Machine Learning](/python/samples)\n",
- " * [2d Computer Vision](/python/samples)\n",
- " * [Object Detection](/python/samples)\n",
+ " * [2d Computer Vision]\n",
+ " * [Object Detection]\n",
" * [Detecting Palm Trees using Deep Learning](/python/samples/detecting-palm-trees-using-deep-learning)\n",
" * [Detecting Swimming Pools using Automated Deep Learning](/python/samples/detecting-swimming-pools-using-automated-machine-learning)\n",
- " * [Feature Extraction](/python/samples)\n",
+ " * [Feature Extraction]\n",
" * [Streams extraction using deep learning](/python/samples/streams-extraction-using-deeplearning)\n",
" * [Extracting features and Land Use Land Cover using Panoptic Segmentation ](/python/samples/extracting0-features-and-land-use-land-cover-using-panoptic-segmentation)\n",
" * [Coastline extraction using Landsat-8 multispectral imagery and band ratio technique](/python/samples/coastline-extraction-usa-landsat8-multispectral-imagery)\n",
- " * [Object Classification](/python/samples)\n",
+ " * [Object Classification]\n",
" * [Traffic Light Detection in Oriented Imagery Using ArcGIS Pretrained Model](/python/samples/traffic-light-detection-on-oriented-imagery)\n",
- " * [Generative Models](/python/samples)\n",
+ " * [Generative Models]\n",
" * [Generating Land Surface Temperature from multispectral imagery using Pix2Pix](/python/samples/generating-lst-from-multispectral-imagery-using-pix2pix)\n",
" * [Generating cloud masks from satellite imagery - Part I ](/python/samples/cloud-detector-part1-cloudless-sentinel-&-unsupervised)\n",
- " * [Other Imagery Use Cases](/python/samples)\n",
+ " * [Other Imagery Use Cases]\n",
" * [Flood inundation mapping and monitoring using SAR data and deep learning](/python/samples/flood-inundation-mapping-using-sar-data-and-deep-learning)\n",
" * [Cloud removal using pre-trained deep learning model and raster function](/python/samples/cloud-removal-using-pre-trained-deep-learning-model-and-raster-function)\n",
" * [Property Valuation in King County USA using AutoML and Geoenriched data](/python/samples/house-price-prediction-using-automl)\n",
