diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index c68edab..f0595dc 100755
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -25,13 +25,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
     "corpus = []\n",
-    "\n",
-    "# Write your code here"
+    "# Write your code here\n",
+    "import re\n",
+    "import pandas as pd\n",
+    "data=[pd.read_csv(d) for d in docs]\n",
+    "data=pd.concat(data,axis=0)\n",
+    "data=list(data)\n",
+    "for i in range(len(data)):\n",
+    "    corpus.append((data[i][:-1].lower()))    "
    ]
   },
   {
@@ -43,10 +49,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['ironhack is cool', 'i love ironhack', 'i am a student at ironhack']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(corpus)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -84,13 +100,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
     "bag_of_words = []\n",
-    "\n",
-    "# Write your code here"
+    "# Write your code here\n",
+    "dummy=[re.split(r' ',i) for i in corpus]\n",
+    "for i in dummy:\n",
+    "    for j in i:\n",
+    "        if j not in bag_of_words:\n",
+    "            bag_of_words.append(j)"
    ]
   },
   {
@@ -104,10 +124,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['ironhack', 'is', 'cool', 'i', 'love', 'am', 'a', 'student', 'at']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(bag_of_words)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -118,13 +148,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
     "term_freq = []\n",
-    "\n",
-    "# Write your code here"
+    "# Write your code here\n",
+    "i=0\n",
+    "dummy=[re.split(r' ',phrase) for phrase in corpus]\n",
+    "for phrase in corpus:\n",
+    "    term_freq.append([])\n",
+    "    for word in bag_of_words:\n",
+    "        aux=0\n",
+    "        for dum in dummy[i]:\n",
+    "            if word==dum:\n",
+    "                term_freq[i].append(1) \n",
+    "                aux=1\n",
+    "        if aux==0:\n",
+    "            term_freq[i].append(0)\n",
+    "    i=i+1"
    ]
   },
   {
@@ -138,10 +180,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[1, 1, 1, 0, 0, 0, 0, 0, 0], [1, 0, 0, 1, 1, 0, 0, 0, 0], [1, 0, 0, 1, 0, 1, 1, 1, 1]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(term_freq)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -169,7 +221,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.8.8"
   }
  },
  "nbformat": 4,