diff --git a/machine_learning_notes.ipynb b/machine_learning_notes.ipynb
index e68f269..c1b8ca6 100644
--- a/machine_learning_notes.ipynb
+++ b/machine_learning_notes.ipynb
@@ -74,14 +74,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import warnings\n",
     "warnings.filterwarnings('ignore')\n",
     "\n",
-    "import os\n",
+    "import os, io\n",
     "import pandas as pd\n",
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
@@ -112,11 +112,7 @@
     "# training evaluation\n",
     "from sklearn.metrics import mean_squared_log_error\n",
     "from sklearn.metrics import mean_squared_error\n",
-    "\n",
-    "# file browser\n",
-    "from selectfile import FileBrowser\n",
-    "train_file_picker = FileBrowser()\n",
-    "test_file_picker = FileBrowser()\n"
+    "\n"
    ]
   },
   {
@@ -128,242 +124,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "794945c894fd4d79a29a68d38431fdcd",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "VBox(children=(HTML(value='<h2>/home/rodolfo/Desktop/machine_learning_notes/data/train.csv</h2>'),))"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "train_file_picker.widget()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df = pd.read_csv(train_file_picker.path)"
+    "try:\n",
+    "    from google.colab import files\n",
+    "    files.upload()\n",
+    "    uploaded_files = [f for f in uploaded.keys()]\n",
+    "    df = pd.read_csv(io.StringIO(uploaded[uploaded_files[0]].decode('utf-8')))\n",
+    "except:\n",
+    "    from selectfile import FileBrowser\n",
+    "    train_file_picker = FileBrowser()\n",
+    "    train_file_picker.widget()\n",
+    "    \n",
+    "#df = pd.read_csv(train_file_picker.path)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Id</th>\n",
-       "      <th>MSSubClass</th>\n",
-       "      <th>MSZoning</th>\n",
-       "      <th>LotFrontage</th>\n",
-       "      <th>LotArea</th>\n",
-       "      <th>Street</th>\n",
-       "      <th>Alley</th>\n",
-       "      <th>LotShape</th>\n",
-       "      <th>LandContour</th>\n",
-       "      <th>Utilities</th>\n",
-       "      <th>...</th>\n",
-       "      <th>PoolArea</th>\n",
-       "      <th>PoolQC</th>\n",
-       "      <th>Fence</th>\n",
-       "      <th>MiscFeature</th>\n",
-       "      <th>MiscVal</th>\n",
-       "      <th>MoSold</th>\n",
-       "      <th>YrSold</th>\n",
-       "      <th>SaleType</th>\n",
-       "      <th>SaleCondition</th>\n",
-       "      <th>SalePrice</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>60</td>\n",
-       "      <td>RL</td>\n",
-       "      <td>65.0</td>\n",
-       "      <td>8450</td>\n",
-       "      <td>Pave</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Reg</td>\n",
-       "      <td>Lvl</td>\n",
-       "      <td>AllPub</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2008</td>\n",
-       "      <td>WD</td>\n",
-       "      <td>Normal</td>\n",
-       "      <td>208500</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>20</td>\n",
-       "      <td>RL</td>\n",
-       "      <td>80.0</td>\n",
-       "      <td>9600</td>\n",
-       "      <td>Pave</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Reg</td>\n",
-       "      <td>Lvl</td>\n",
-       "      <td>AllPub</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2007</td>\n",
-       "      <td>WD</td>\n",
-       "      <td>Normal</td>\n",
-       "      <td>181500</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3</td>\n",
-       "      <td>60</td>\n",
-       "      <td>RL</td>\n",
-       "      <td>68.0</td>\n",
-       "      <td>11250</td>\n",
-       "      <td>Pave</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>IR1</td>\n",
-       "      <td>Lvl</td>\n",
-       "      <td>AllPub</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9</td>\n",
-       "      <td>2008</td>\n",
-       "      <td>WD</td>\n",
-       "      <td>Normal</td>\n",
-       "      <td>223500</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4</td>\n",
-       "      <td>70</td>\n",
-       "      <td>RL</td>\n",
-       "      <td>60.0</td>\n",
-       "      <td>9550</td>\n",
-       "      <td>Pave</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>IR1</td>\n",
-       "      <td>Lvl</td>\n",
-       "      <td>AllPub</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2006</td>\n",
-       "      <td>WD</td>\n",
-       "      <td>Abnorml</td>\n",
-       "      <td>140000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5</td>\n",
-       "      <td>60</td>\n",
-       "      <td>RL</td>\n",
-       "      <td>84.0</td>\n",
-       "      <td>14260</td>\n",
-       "      <td>Pave</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>IR1</td>\n",
-       "      <td>Lvl</td>\n",
-       "      <td>AllPub</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>12</td>\n",
-       "      <td>2008</td>\n",
-       "      <td>WD</td>\n",
-       "      <td>Normal</td>\n",
-       "      <td>250000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 81 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   Id  MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
-       "0   1          60       RL         65.0     8450   Pave   NaN      Reg   \n",
-       "1   2          20       RL         80.0     9600   Pave   NaN      Reg   \n",
-       "2   3          60       RL         68.0    11250   Pave   NaN      IR1   \n",
-       "3   4          70       RL         60.0     9550   Pave   NaN      IR1   \n",
-       "4   5          60       RL         84.0    14260   Pave   NaN      IR1   \n",
-       "\n",
-       "  LandContour Utilities    ...     PoolArea PoolQC Fence MiscFeature MiscVal  \\\n",
-       "0         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
-       "1         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
-       "2         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
-       "3         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
-       "4         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
-       "\n",
-       "  MoSold YrSold  SaleType  SaleCondition  SalePrice  \n",
-       "0      2   2008        WD         Normal     208500  \n",
-       "1      5   2007        WD         Normal     181500  \n",
-       "2      9   2008        WD         Normal     223500  \n",
-       "3      2   2006        WD        Abnorml     140000  \n",
-       "4     12   2008        WD         Normal     250000  \n",
-       "\n",
-       "[5 rows x 81 columns]"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df.head()"
    ]
@@ -377,31 +159,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "dbd1464bceba427ca79eefabe718b61a",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "VBox(children=(HTML(value='<h2>/home/rodolfo/Desktop/machine_learning_notes/data/train.csv</h2>'),))"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "test_file_picker.widget()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -410,209 +177,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Id</th>\n",
-       "      <th>MSSubClass</th>\n",
-       "      <th>MSZoning</th>\n",
-       "      <th>LotFrontage</th>\n",
-       "      <th>LotArea</th>\n",
-       "      <th>Street</th>\n",
-       "      <th>Alley</th>\n",
-       "      <th>LotShape</th>\n",
-       "      <th>LandContour</th>\n",
-       "      <th>Utilities</th>\n",
-       "      <th>...</th>\n",
-       "      <th>PoolArea</th>\n",
-       "      <th>PoolQC</th>\n",
-       "      <th>Fence</th>\n",
-       "      <th>MiscFeature</th>\n",
-       "      <th>MiscVal</th>\n",
-       "      <th>MoSold</th>\n",
-       "      <th>YrSold</th>\n",
-       "      <th>SaleType</th>\n",
-       "      <th>SaleCondition</th>\n",
-       "      <th>SalePrice</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>60</td>\n",
-       "      <td>RL</td>\n",
-       "      <td>65.0</td>\n",
-       "      <td>8450</td>\n",
-       "      <td>Pave</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Reg</td>\n",
-       "      <td>Lvl</td>\n",
-       "      <td>AllPub</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2008</td>\n",
-       "      <td>WD</td>\n",
-       "      <td>Normal</td>\n",
-       "      <td>208500</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>20</td>\n",
-       "      <td>RL</td>\n",
-       "      <td>80.0</td>\n",
-       "      <td>9600</td>\n",
-       "      <td>Pave</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Reg</td>\n",
-       "      <td>Lvl</td>\n",
-       "      <td>AllPub</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2007</td>\n",
-       "      <td>WD</td>\n",
-       "      <td>Normal</td>\n",
-       "      <td>181500</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3</td>\n",
-       "      <td>60</td>\n",
-       "      <td>RL</td>\n",
-       "      <td>68.0</td>\n",
-       "      <td>11250</td>\n",
-       "      <td>Pave</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>IR1</td>\n",
-       "      <td>Lvl</td>\n",
-       "      <td>AllPub</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>9</td>\n",
-       "      <td>2008</td>\n",
-       "      <td>WD</td>\n",
-       "      <td>Normal</td>\n",
-       "      <td>223500</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4</td>\n",
-       "      <td>70</td>\n",
-       "      <td>RL</td>\n",
-       "      <td>60.0</td>\n",
-       "      <td>9550</td>\n",
-       "      <td>Pave</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>IR1</td>\n",
-       "      <td>Lvl</td>\n",
-       "      <td>AllPub</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2006</td>\n",
-       "      <td>WD</td>\n",
-       "      <td>Abnorml</td>\n",
-       "      <td>140000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5</td>\n",
-       "      <td>60</td>\n",
-       "      <td>RL</td>\n",
-       "      <td>84.0</td>\n",
-       "      <td>14260</td>\n",
-       "      <td>Pave</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>IR1</td>\n",
-       "      <td>Lvl</td>\n",
-       "      <td>AllPub</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>12</td>\n",
-       "      <td>2008</td>\n",
-       "      <td>WD</td>\n",
-       "      <td>Normal</td>\n",
-       "      <td>250000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 81 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   Id  MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
-       "0   1          60       RL         65.0     8450   Pave   NaN      Reg   \n",
-       "1   2          20       RL         80.0     9600   Pave   NaN      Reg   \n",
-       "2   3          60       RL         68.0    11250   Pave   NaN      IR1   \n",
-       "3   4          70       RL         60.0     9550   Pave   NaN      IR1   \n",
-       "4   5          60       RL         84.0    14260   Pave   NaN      IR1   \n",
-       "\n",
-       "  LandContour Utilities    ...     PoolArea PoolQC Fence MiscFeature MiscVal  \\\n",
-       "0         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
-       "1         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
-       "2         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
-       "3         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
-       "4         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
-       "\n",
-       "  MoSold YrSold  SaleType  SaleCondition  SalePrice  \n",
-       "0      2   2008        WD         Normal     208500  \n",
-       "1      5   2007        WD         Normal     181500  \n",
-       "2      9   2008        WD         Normal     223500  \n",
-       "3      2   2006        WD        Abnorml     140000  \n",
-       "4     12   2008        WD         Normal     250000  \n",
-       "\n",
-       "[5 rows x 81 columns]"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df_test.head()"
    ]
@@ -1283,7 +850,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.6.3"
   }
  },
  "nbformat": 4,