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    "## Module 2: Build Model Using SageMaker Canvas\"\n",
    "---\n",
    "\n",
    "Welcome to module 2 on SageMaker Canvas. In this module, you will learn how to use SageMaker Canvas to build custom machine learning models without writing any code. The estimate time to complete this module is one hour.\n",
    "\n",
    "SageMaker Canvas is a powerful visual interface that allows users to build and train machine learning models. This helps your organization speed up and scale your ML projects by putting the right ML tool in the hands of business analysts/non-technical users. In this module, you will go through the outlined steps to train an anomaly detection model using Canvas to predict potential network accessibility issues in your 5G system. \n",
    "\n",
    "By the end of this module, you will be able to:\n",
    "\n",
    "* Navigate the visual interface in SageMaker Canvas\n",
    "* Use SageMaker Canvas to build a machine learning model\n",
    "* Run batch prediction as well as what-if analysis using the generated model\n",
    "\n",
    "**Note: Download the data from previous module. If you DID NOT run the previous modules, please use the *train.csv* and *test.csv* files in the repo.**\n"
   ]
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   "cell_type": "markdown",
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   "metadata": {},
   "source": [
    "## This Lab is [No Code]. Please follow the step by step instruction in the [Workshop]() to complete the lab in SageMaker Canvas"
   ]
  },
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   "id": "c653ef24-7283-4959-ba16-783d1eb6a174",
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