02-naive-bayes/nb_author_id.ipynb

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   "source": [
    "# This is the code to accompany the Lesson 2 (Naive Bayes) mini-project\n",
    "\n",
    "### Use a Naive Bayes Classifier to identify emails by their authors\n",
    "\n",
    "authors and labels:\n",
    "- Sara has label `0`\n",
    "- Chris has label `1`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "import sys\n",
    "from time import time\n",
    "sys.path.append(\"../utils/\")\n",
    "\n",
    "from email_preprocess import preprocess"
   ]
  },
  {
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    "- `features_train` and `features_test` are the features for the training and testing datasets, respectively\n",
    "- `labels_train` and `labels_test` are the corresponding item labels"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
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    "features_train, features_test, labels_train, labels_test = preprocess()"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "## ↓↓↓ Your Code Goes Here ↓↓↓"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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