diff --git a/ML/1_linear_reg/Exercise/ans b/ML/1_linear_reg/Exercise/ans
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+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+from sklearn import linear_model
+df=pd.read_csv(r"C:\Users\Lenovo\Documents\Machine Learning\canada_per_capita_income.csv")
+df
+reg=linear_model.LinearRegression()
+reg.fit(df[['year']],df['per_capita_income (US$)'])
+reg.predict([[2020]])
+%matplotlib inline
+import matplotlib.pyplot as plt
+
+plt.xlabel('Year')
+plt.ylabel('Per Capita Income')
+plt.scatter(df.year, df['per_capita_income (US$)'], color='red', marker='+') 
+plt.plot(df.year, reg.predict(df[['year']]), color='green') 
+plt.show()