3. Baseline and Simpler Models.ipynb

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    "# 3. Baseline and Simpler Models"
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    "The goal of this notebook is to build a baseline model and a simpler model to compare with the final model. The baseline model will be a naive model thats predict's the present time step variables as being equal to the previous time step variables. The simple models will be: a Linear Regression Model, a Random Forest Model, and a Gradient Boosting Model. Afterwards, in the next ntoebook, we will start to use more advanced Neural Network models to see if we can improve the performance of the simpler models.\n"
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    "import pandas as pd\n",
    "import numpy as np\n",
    "import sklearn\n",
    "import matplotlib.pyplot as plt\n"
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