fix various typos and incorrect formats

Author: jyaistMap

guide/02-api-overview/release_notes_210.ipynb

@@ -29,20 +29,20 @@
     "* [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]\n",
-    "    * [Object Detection]\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]\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]\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]\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]\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",
@@ -151,7 +151,7 @@
     "#### [`arcgis.gis.server`](/python/api-reference/arcgis.gis.server.html)\n",
     "* [`Service`](/python/api-reference/arcgis.gis.server.html#service)\n",
     "  * Adds method:\n",
-    "    * [`service_manifest()`](/api-reference/arcgis.gis.server.html#arcgis.gis.server.Service.service_manifest) - result of [**Public Repo Issue #1316](https://github.com/Esri/arcgis-python-api/issues/1316)\n",
+    "    * [`service_manifest()`](/api-reference/arcgis.gis.server.html#arcgis.gis.server.Service.service_manifest) - result of [**Public Repo Issue #1316**](https://github.com/Esri/arcgis-python-api/issues/1316)\n",
     "* [`ServicesDirectory`](/python/api-reference/arcgis.gis.server.html#servicesdirectory)\n",
     "  * Adds method:\n",
     "    * [`footprints()`](/python/api-reference/arcgis.gis.server.html#arcgis.gis.server.catalog.ServicesDirectory.footprints)\n",
@@ -251,10 +251,10 @@
     " * Adds ability to create object directly for use with a specific branch [`version`](/python/api-reference/arcgis.features.managers.html#version)\n",
     " * Adds `return_moment` parameter to:\n",
     "   * [`add()`](/python/api-reference/arcgis.features.managers.html#arcgis.features.managers.AttachmentManager.add)\n",
-    "   * [`delete()`](/pythonhttp://localhost:8000/api-reference/arcgis.features.managers.html#arcgis.features.managers.AttachmentManager.delete)\n",
-    "   * [`update()`](/pythonhttp://localhost:8000/api-reference/arcgis.features.managers.html#arcgis.features.managers.AttachmentManager.update)\n",
+    "   * [`delete()`](/python/api-reference/arcgis.features.managers.html#arcgis.features.managers.AttachmentManager.delete)\n",
+    "   * [`update()`](/python/api-reference/arcgis.features.managers.html#arcgis.features.managers.AttachmentManager.update)\n",
     " * Adds `rollback_on_failure` parameter to:\n",
-    "   * [`delete()`](/pythonhttp://localhost:8000/api-reference/arcgis.features.managers.html#arcgis.features.managers.AttachmentManager.delete)\n",
+    "   * [`delete()`](/python/api-reference/arcgis.features.managers.html#arcgis.features.managers.AttachmentManager.delete)\n",
     " \n",
     "#### [`arcgis.features.analyze_patterns`](/python/api-reference/arcgis.features.analyze_patterns.html)\n",
     "* [`interprolate_points()`](/python/api-reference/arcgis.features.analyze_patterns.html#interpolate-points)\n",
@@ -493,14 +493,14 @@
     "      * `show_results()`\n",
     "      * `average_precision_score()`\n",
     "* [Feature, Tabular, anad Timeseries models](/python/api-reference/arcgis.learn.toc.html#feature-tabular-and-timeseries-models)\n",
-    "  * Adds models*:\n",
+    "  * Adds models:\n",
     "    * [`PSETAE`](/python/api-reference/arcgis.learn.toc.html#psetae)\n",
     "  * [`TimeSeriesModel`](/python/api-reference/arcgis.learn.toc.html#timeseriesmodel)\n",
     "    * Adds parameters:\n",
     "      * `location_var`\n",
-    "  * Adds multivariate support for space time cubes\n",
-    "  * [`load()`](/python/api-reference/arcgis.learn.toc.html#arcgis.learn.TimeSeriesModel.load)\n",
-    "    * Adds deep learning package and parent directory support for\n",
+    "    * Adds multivariate support for space time cubes\n",
+    "    * [`load()`](/python/api-reference/arcgis.learn.toc.html#arcgis.learn.TimeSeriesModel.load)\n",
+    "      * Adds deep learning package and parent directory support for\n",
     "* [Unstructured Text Models](/python/api-reference/arcgis.learn.toc.html#unstructured-text-models)\n",
     "  * [`TextClassifier`](/python/api-reference/arcgis.learn.text.html#textclassifier)\n",
     "    * [`predict()`](/python/api-reference/arcgis.learn.text.html#arcgis.learn.text.TextClassifier.predict)\n",
@@ -641,7 +641,7 @@
     "  * [`to_featurelayer()`](/python/api-reference/arcgis.features.toc.html#arcgis.features.GeoAccessor.to_featurelayer)\n",
     "    * Fixes error when `np.nan` values exist within the data in environment without `ArcPy`\n",
     "  * [`to_featureset()`](/python/api-reference/arcgis.features.toc.html#arcgis.features.GeoAccessor.to_featureset)\n",
-    "    * Fixes [**Public Repo Issue #1281](https://github.com/Esri/arcgis-python-api/issues/1281) `AttributeError` regarding `.str` accessor when data frame has column with `np.nan` values\n",
+    "    * Fixes [**Public Repo Issue #1281**](https://github.com/Esri/arcgis-python-api/issues/1281) `AttributeError` regarding `.str` accessor when data frame has column with `np.nan` values\n",
     "  * [`from_table()`](/python/api-reference/arcgis.features.toc.html#arcgis.features.GeoAccessor.from_table)\n",
     "    * Fixes [**Public Repo Issue #1272**](https://github.com/Esri/arcgis-python-api/issues/1272) where `AttributeError` raised regarding `_as_array` when run in `ArcGIS Pro`\n",
     "  * [`from_xy()`](/python/api-reference/arcgis.features.toc.html#arcgis.features.GeoAccessor.from_xy)\n",