tutorials/polynomial_regression.ipynb

@@ -90,7 +90,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import numpy as np\n",
     "from numpy.polynomial import Polynomial"
    ]
   },
@@ -144,6 +143,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import numpy as np\n",
     "np.random.seed(42)\n",
     "\n",
     "n_samples = 20\n",
@@ -157,7 +157,7 @@
    "id": "cdafa99c",
    "metadata": {},
    "source": [
-    "Let's see if the data produced is looking good (as we might possible guess)."
+    "Let's see if the data produced is looking good (as we might possibly guess)."
    ]
   },
   {
@@ -283,14 +283,6 @@
     "However, in order to decide the dimensions of our design matrix, we need the *degree* of the polynomial that is going to be used in the model."
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f41f4263",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "b9ecaec8",