diff --git a/01_Linear_Models.ipynb b/01_Linear_Models.ipynb
index 7eea371..97fbda9 100644
--- a/01_Linear_Models.ipynb
+++ b/01_Linear_Models.ipynb
@@ -140,7 +140,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Note on random number generators (could move it somewhere else)\n",
+    "### Note on random number generators (general note)\n",
     "\n",
     "It is generally a good practice (for machine learning applications **not** cryptography!) to seed a pseudo-random number generator once at the beginning of the experiment, and use it later through the code where necesarry. This allows to avoid hard to reproduce scenariors where a particular action happens only for a particular sequence of numbers (which you cannot reproduce easily due to unknown random seeds sequence on the way!). As such, within this course we are going use a single random generator object. For instance, the one similar to the below:"
    ]