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Author: palaksinghania05

ml.py

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+import pandas
+dataset=pandas.read_csv('/root/Salary_Data.csv')
+y=dataset['Salary']
+x=dataset['YearsExperience']
+from sklearn.linear_model import LinearRegression
+x=x.values
+x=x.reshape(-1,1)
+model=LinearRegression()
+model.fit(x,y)
+exp=input('\t\t\t\tEnter Value to Predict from DataSet :-   ')
+print('\t\t\t\tPredicted Value is :-  ', end='')
+print(model.predict([[float(exp)]]))
+print()