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   "source": [
    "# Tutorials\n",
    "\n",
    "Below are examples of how to apply EvalML to a variety of problems:"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {
    "nbsphinx-toctree": {
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   "source": [
    "[Building a Fraud Prediction Model](demos/fraud)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbsphinx-toctree": {
     "maxdepth": 1
    }
   },
   "source": [
    "[Building a Lead Scoring Model](demos/lead_scoring)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbsphinx-toctree": {
     "maxdepth": 1
    }
   },
   "source": [
    "[Using the Cost-Benefit Matrix Objective](demos/cost_benefit_matrix)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbsphinx-toctree": {
     "maxdepth": 1
    }
   },
   "source": [
    "[Using Text Data with EvalML](demos/text_input)"
   ]
  }
 ],
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   "language": "python",
   "name": "python3"
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