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   "source": [
    "#Install the necessary dependencies\n",
    "import os\n",
    "import sys\n",
    "!{sys.executable} -m pip install --quiet pandas scikit-learn numpy matplotlib jupyterlab_myst ipython python_utils"
   ]
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   "source": [
    "---\n",
    "license:\n",
    "    code: MIT\n",
    "    content: CC-BY-4.0\n",
    "github: https://github.com/ocademy-ai/machine-learning\n",
    "venue: By Ocademy\n",
    "open_access: true\n",
    "bibliography:\n",
    "  - https://raw.githubusercontent.com/ocademy-ai/machine-learning/main/open-machine-learning-jupyter-book/references.bib\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Science lifecycle\n",
    "\n",
    "![communication](https://static-1300131294.cos.ap-shanghai.myqcloud.com/images/communication.jpeg)\n",
    "\n",
    "> Photo by [Headway](https://unsplash.com/@headwayio?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) on [Unsplash](https://unsplash.com/s/photos/communication?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText)\n",
    "  \n",
    "In these sections, you'll explore some of the aspects of the Data Science lifecycle, including analysis and communication around data.\n"
   ]
  }
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