Data Preprocessing Template.ipynb

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   "source": [
    "# Data Preprocessing Template"
   ]
  },
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   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cd Part 1 - Data Preprocessing"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing the libraries\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "#importing the dataset\n",
    "dataset=pd.read_csv('data.csv')\n",
    "\n",
    "#Setting Matrix of Features(Independent Variable) and Dependent Variable\n",
    "X=dataset.iloc[:,:-1].values\n",
    "y=dataset.iloc[:,3].values\n",
    "\n",
    "# Splitting the dataset into training and test set\n",
    "from sklearn.model_selection import train_test_split\n",
    "X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.2,random_state=0)  #Split dataset\n",
    "#into train and test data\n",
    "#test_size=0.2 ==20%.\n",
    "#random_state is set to 0 here to exactly match the results with the video\n",
    "#good choice of random_state is 42"
   ]
  }
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