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data_preprocessing.py
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{
"cells": [
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[['France' 44.0 72000.0]\n",
" ['Spain' 27.0 48000.0]\n",
" ['Germany' 30.0 54000.0]\n",
" ['Spain' 38.0 61000.0]\n",
" ['Germany' 40.0 nan]\n",
" ['France' 35.0 58000.0]\n",
" ['Spain' nan 52000.0]\n",
" ['France' 48.0 79000.0]\n",
" ['Germany' 50.0 83000.0]\n",
" ['France' 37.0 67000.0]]\n",
"[['France' 44.0 72000.0]\n",
" ['Spain' 27.0 48000.0]\n",
" ['Germany' 30.0 54000.0]\n",
" ['Spain' 38.0 61000.0]\n",
" ['Germany' 40.0 63777.77777777778]\n",
" ['France' 35.0 58000.0]\n",
" ['Spain' 38.77777777777778 52000.0]\n",
" ['France' 48.0 79000.0]\n",
" ['Germany' 50.0 83000.0]\n",
" ['France' 37.0 67000.0]]\n",
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"[0 0]\n",
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]
}
],
"source": [
"# import numpy as np\n",
"# import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"from sklearn.preprocessing import Imputer, LabelEncoder\n",
"from sklearn.preprocessing import OneHotEncoder, StandardScaler\n",
"from sklearn.cross_validation import train_test_split\n",
"\n",
"dataset = pd.read_csv('Data.csv')\n",
"x = dataset.iloc[:,:-1].values\n",
"y = dataset.iloc[:,3].values\n",
"print(x)\n",
"\n",
"# handle missing data\n",
"imputer = Imputer(missing_values=\"NaN\",strategy=\"mean\",axis=0)\n",
"z = imputer.fit(x[:,1:3])\n",
"x[:,1:3] = z.transform(x[:,1:3])\n",
"print(x)\n",
"\n",
"# encode text data to, numbers\n",
"labelencoder_x = LabelEncoder()\n",
"x[:,0]=labelencoder_x.fit_transform(x[:,0])\n",
"print(x)\n",
"\n",
"# encode the above numbers to ,only 1's and 0's\n",
"onehotencoder = OneHotEncoder(categorical_features=[0])\n",
"x = onehotencoder.fit_transform(x).toarray()\n",
"print(x)\n",
"\n",
"# encode text data to, numbers\n",
"labelencoder_y = LabelEncoder()\n",
"y=labelencoder_y.fit_transform(y)\n",
"print(y)\n",
"\n",
"# train data and test data\n",
"x_train, x_test, y_train, y_test = train_test_split(x,y,test_size=0.2,random_state=0)\n",
"print(x_train)\n",
"print(x_test)\n",
"print(y_train)\n",
"print(y_test)\n",
"\n",
"# feature scaling, machine learning models rely on euclidian\n",
"# distance, so transform the whole data\n",
"sc_x = StandardScaler()\n",
"x_train = sc_x.fit_transform(x_train)\n",
"x_test = sc_x.transform(x_test)\n",
"\n",
"print(x_train)\n",
"print(x_test)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
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