diff --git a/open-machine-learning-jupyter-book/ml-advanced/model-selection.ipynb b/open-machine-learning-jupyter-book/ml-advanced/model-selection.ipynb
index 6b33475ae..800a7d709 100644
--- a/open-machine-learning-jupyter-book/ml-advanced/model-selection.ipynb
+++ b/open-machine-learning-jupyter-book/ml-advanced/model-selection.ipynb
@@ -20,6 +20,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "fa21427a",
    "metadata": {
     "tags": [
      "remove-cell"
@@ -704,14 +705,12 @@
     "Machine learning model selection and dealing with overfitting and underfitting are crucial aspects of the machine learning pipeline. In this assignment, you'll have the opportunity to apply your understanding of these concepts and techniques. \n",
     "Please complete the following tasks:\n",
     "\n",
-    "- [model-selection-assignment-1](../assignments/ml-advanced/model-selection/model-selection-assignment-1.ipynb)\n",
+    "- [learning-curve-to-identify-overfit-underfit](../assignments/ml-advanced/model-selection/learning-curve-to-identify-overfit-underfit.ipynb)\n",
     "\n",
     "- [lasso-and-ridge-regression](../assignments/ml-advanced/model-selection/lasso-and-ridge-regression.ipynb)\n",
     "\n",
     "- [dropout-and-batch-normalization](../assignments/ml-advanced/model-selection/dropout-and-batch-normalization.ipynb)\n",
     "\n",
-    "- [learning-curve-to-identify-overfit-underfit](../assignments/ml-advanced/model-selection/learning-curve-to-identify-overfit-underfit.ipynb)\n",
-    "\n",
     "- [regularized-linear-models](../assignments/ml-advanced/model-selection/regularized-linear-models.ipynb)\n",
     "\n",
     "## Self study\n",
@@ -725,6 +724,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "06344295",
    "metadata": {},
    "source": [
     "## Acknowledgments\n",