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Debt Prediction using Linear Regression

import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn import preprocessing
from sklearn import metrics
import numpy as np
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import train_test_split as t_t_s
df = pd.read_csv("https://github.com/mpourhoma/CS4661/raw/master/Credit.csv")
df.head()
feature_cols =['Income', 'Limit', 'Rating', 'Cards','Age', 'Education','Married']
bal = df['Balance']