music_recommender_py.ipynb

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   "source": [
    "import pandas as pd\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "import sklearn.tree\n",
    "\n",
    "\n",
    "    \n",
    "\n",
    "music_data = pd.read_csv('music.csv')\n",
    "X = music_data.drop(columns=['genre'])\n",
    "Y = music_data['genre']\n",
    "\n",
    "model = DecisionTreeClassifier()\n",
    "model.fit(X, Y)\n",
    " \n",
    "tree.export_graphviz(model, out_file='music.recommender.dot',feature_names = ['age','gender'],class_names = sorted(Y.unique()),label = 'all',rounded = True, filled = True)\n"
   ]
  }
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