diff --git a/7-TimeSeries/3-SVR/solution/notebook.ipynb b/7-TimeSeries/3-SVR/solution/notebook.ipynb
index bbdd7e5e..e6f8150f 100644
--- a/7-TimeSeries/3-SVR/solution/notebook.ipynb
+++ b/7-TimeSeries/3-SVR/solution/notebook.ipynb
@@ -18,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 1,
    "metadata": {
     "id": "M687KNlQFp0-"
    },
@@ -30,20 +30,11 @@
     "import numpy as np\n",
     "import pandas as pd\n",
     "import datetime as dt\n",
+    "import math\n",
     "\n",
-    "from common.utils import load_data, mape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {
-    "id": "FvR0MjVlLf_S"
-   },
-   "outputs": [],
-   "source": [
+    "from sklearn.svm import SVR\n",
     "from sklearn.preprocessing import MinMaxScaler\n",
-    "from sklearn.svm import SVR"
+    "from common.utils import load_data, mape"
    ]
   },
   {
@@ -66,7 +57,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 136,
+   "execution_count": 3,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -121,26 +112,6 @@
        "      <th>2012-01-01 04:00:00</th>\n",
        "      <td>2403.0</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2012-01-01 05:00:00</th>\n",
-       "      <td>2453.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2012-01-01 06:00:00</th>\n",
-       "      <td>2560.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2012-01-01 07:00:00</th>\n",
-       "      <td>2719.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2012-01-01 08:00:00</th>\n",
-       "      <td>2916.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2012-01-01 09:00:00</th>\n",
-       "      <td>3105.0</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
@@ -151,22 +122,17 @@
        "2012-01-01 01:00:00  2558.0\n",
        "2012-01-01 02:00:00  2444.0\n",
        "2012-01-01 03:00:00  2402.0\n",
-       "2012-01-01 04:00:00  2403.0\n",
-       "2012-01-01 05:00:00  2453.0\n",
-       "2012-01-01 06:00:00  2560.0\n",
-       "2012-01-01 07:00:00  2719.0\n",
-       "2012-01-01 08:00:00  2916.0\n",
-       "2012-01-01 09:00:00  3105.0"
+       "2012-01-01 04:00:00  2403.0"
       ]
      },
-     "execution_count": 136,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "energy = load_data('./data')[['load']]\n",
-    "energy.head(10)"
+    "energy.head(5)"
    ]
   },
   {
@@ -180,7 +146,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 137,
+   "execution_count": 5,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -221,7 +187,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 138,
+   "execution_count": 6,
    "metadata": {
     "id": "ysvsNyONGt0Q"
    },
@@ -233,7 +199,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 139,
+   "execution_count": 7,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -283,7 +249,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 140,
+   "execution_count": 8,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -318,7 +284,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 141,
+   "execution_count": 9,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -386,7 +352,7 @@
        "2014-11-01 04:00:00  0.059087"
       ]
      },
-     "execution_count": 141,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -399,7 +365,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 142,
+   "execution_count": 10,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -467,7 +433,7 @@
        "2014-12-30 04:00:00  0.302596"
       ]
      },
-     "execution_count": 142,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -497,7 +463,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 143,
+   "execution_count": 12,
    "metadata": {
     "id": "Rpju-Sc2HFm0"
    },
@@ -511,7 +477,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 144,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -522,7 +488,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 145,
+   "execution_count": 14,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -537,7 +503,7 @@
        "(1412, 5)"
       ]
      },
-     "execution_count": 145,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -551,7 +517,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 146,
+   "execution_count": 16,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -566,7 +532,7 @@
        "(44, 5)"
       ]
      },
-     "execution_count": 146,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -580,7 +546,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 147,
+   "execution_count": 17,
    "metadata": {
     "id": "2u0R2sIsLuq5"
    },
@@ -595,8 +561,6 @@
     }
    ],
    "source": [
-    "# Selecting inputs and outputs from training and testing data\n",
-    "\n",
     "x_train, y_train = train_data_timesteps[:,:timesteps-1],train_data_timesteps[:,[timesteps-1]]\n",
     "x_test, y_test = test_data_timesteps[:,:timesteps-1],test_data_timesteps[:,[timesteps-1]]\n",
     "\n",
@@ -615,18 +579,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 148,
+   "execution_count": 18,
    "metadata": {
     "id": "EhA403BEPEiD"
    },
    "outputs": [],
    "source": [
+    "# Create model using RBF kernel\n",
+    "\n",
     "model = SVR(kernel='rbf',gamma=0.5, C=10, epsilon = 0.05)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 149,
+   "execution_count": 19,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -642,12 +608,14 @@
        "    kernel='rbf', max_iter=-1, shrinking=True, tol=0.001, verbose=False)"
       ]
      },
-     "execution_count": 149,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
+    "# Fit model on training data\n",
+    "\n",
     "model.fit(x_train, y_train[:,0])"
    ]
   },
@@ -662,7 +630,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 150,
+   "execution_count": 20,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -681,6 +649,7 @@
    ],
    "source": [
     "# Making predictions\n",
+    "\n",
     "y_train_pred = model.predict(x_train).reshape(-1,1)\n",
     "y_test_pred = model.predict(x_test).reshape(-1,1)\n",
     "\n",
@@ -698,7 +667,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 151,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -710,8 +679,8 @@
     }
    ],
    "source": [
-    "\n",
     "# Scaling the predictions\n",
+    "\n",
     "y_train_pred = scaler.inverse_transform(y_train_pred)\n",
     "y_test_pred = scaler.inverse_transform(y_test_pred)\n",
     "\n",
@@ -720,7 +689,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 152,
+   "execution_count": 22,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -739,6 +708,7 @@
    ],
    "source": [
     "# Scaling the original values\n",
+    "\n",
     "y_train = scaler.inverse_transform(y_train)\n",
     "y_test = scaler.inverse_transform(y_test)\n",
     "\n",
@@ -747,7 +717,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 153,
+   "execution_count": 23,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -775,7 +745,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 176,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -803,7 +773,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 167,
+   "execution_count": 25,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -826,7 +796,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 168,
+   "execution_count": 26,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -860,7 +830,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 170,
+   "execution_count": 27,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -892,7 +862,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
+   "execution_count": 25,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -929,7 +899,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 172,
+   "execution_count": 26,
    "metadata": {
     "id": "ESSAdQgwexIi"
    },
@@ -945,7 +915,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 182,
+   "execution_count": 27,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -979,7 +949,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 174,
+   "execution_count": 28,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"