remove typos, problem sample, add model

Author: jyaistMap

guide/02-api-overview/release_notes_210.ipynb

@@ -21,8 +21,8 @@
     "* [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]\n",
-    "    * [Pixel Classification]\n",
+    "  * 2d Computer Vision\n",
+    "    * Pixel Classification\n",
     "      * [How PSETAE works](../guide/how-psetae-works)\n",
     "  \n",
     "### [Samples](/python/samples/)\n",
@@ -41,8 +41,6 @@
     "    * 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",
-    "  * Tabular Data Forecasting\n",
-    "    * [Property Valuation in King County USA using AutoML and Geoenriched data](/python/samples/house-price-prediction-using-automl)\n",
     "* [Content Publishers](/python/samples)\n",
     "  * [Publishing and Consuming OGC Services](/python/samples/publish-ogc-services)\n",
     "\n",
@@ -473,11 +471,9 @@
     "    * Adds Shap explanations for each prediction\n",
     "    * Adds Confidence scores for predictions\n",
     "    * Renames Random Forest to Random Trees for `Basic` argument of `mode` parameter\n",
-    "* [3d Models](/python/api-reference/arcgis.learn.toc.html#d-models)\n",
-    "  * Adds models:\n",
-    "    * [`RandLANet`](/python/api-reference/arcgis.learn.toc.html#randlanet)\n",
-    "    * [`SQNSeg`](/python/api-reference/arcgis.learn.toc.html#sqnseg)  \n",
     "* [Object Detection Models](/python/api-reference/arcgis.learn.toc.html#object-detection-models)\n",
+    "  * Adds models:\n",
+    "    * [`EfficientDet`](/python/api-reference/arcgis.learn.toc.html#efficientdet)\n",
     "  * Adds support for `batch_size` parameter in `predict()` methods\n",
     "  * Adds precision score as a metric returned by `fit()` for:\n",
     "    * `MaskRCNN`\n",
@@ -489,6 +485,10 @@
     "      * `predict()`\n",
     "      * `show_results()`\n",
     "      * `average_precision_score()`\n",
+    "* [3d Models](/python/api-reference/arcgis.learn.toc.html#d-models)\n",
+    "  * Adds models:\n",
+    "    * [`RandLANet`](/python/api-reference/arcgis.learn.toc.html#randlanet)\n",
+    "    * [`SQNSeg`](/python/api-reference/arcgis.learn.toc.html#sqnseg)  \n",
     "* [Feature, Tabular, and Timeseries models](/python/api-reference/arcgis.learn.toc.html#feature-tabular-and-timeseries-models)\n",
     "  * Adds models:\n",
     "    * [`PSETAE`](/python/api-reference/arcgis.learn.toc.html#psetae)\n",