Time Series Analysis and Modeling with the Air Passengers Dataset.ipynb

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    "# Time Series Analysis and Modeling with the Air Passengers Dataset\n",
    "\n",
    "## Synopsis\n",
    "This objective of this analysis and modelling is to review time series theory and experiment with R packages.\n",
    "\n",
    "We will be following an ARIMA modeling procedure of the AirPassengers dataset as follows:\n",
    "1. Perform exploratory data analysis\n",
    "2. Decomposition of data\n",
    "3. Test the stationarity\n",
    "4. Fit a model used an automated algorithm\n",
    "5. Calculate forecasts\n",
    "\n",
    "## Setup\n",
    "LOAD PACKAGES"
   ]
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   "source": [
    "from random import randrange\n",
    "from pandas import Series\n",
    "from matplotlib import pyplot\n",
    "from statsmodels.tsa.seasonal import seasonal_decompose\n",
    "from pandas import Series\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "LOAD DATA"
   ]
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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