<jupyter_start><jupyter_text>Introduction to Data Science Kickstarter Group 41<jupyter_code>Names: '<NAME>', 

Studentnumbers: ['2656151'],<jupyter_output><empty_output><jupyter_text>We are assigned to use Logistic Regression as a model to use with our group<jupyter_code>import os
import sys

import numpy as np
import pandas as pd
import sklearn
from nose.tools import assert_count_equal, assert_equal
from numpy.testing import *
from pandas.testing import assert_frame_equal
from sklearn import linear_model
from sklearn.linear_model import LinearRegression
from sklearn.preprocessing import PolynomialFeatures
Test_Data = pd.read_csv('KS_test_data.csv', sep=";", header=0)
print(Test_Data.shape)
Test_Data.head()
Train_Data = pd.read_csv('KS_train_data.csv', sep=",", header=0)
print(Train_Data.shape)
Train_Data.head()<jupyter_output>(100000, 21)
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