position salaries

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Import numpy as np
Import pandas as pd
Fromsklearn.model_selection import train_test_split
Fromsklearn.linear_model import Linear Regression

Data={‘Position’:[‘CEO’,‘charman’,‘director’,‘SeniorManager’,‘JuniorManager’,‘Intern’],
‘Level’:[1,2,3,4,5,6],
‘Salary’:[50000,80000,110000,150000,200000,250000]}
Df=pd.DataFrame(data)

X=df.iloc[:,1:2].values
Y=df.iloc[:,2].values

X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.3,random_state=0)

Print(“X_train:\n”,X_train)
Print(“y_train:\n”,y_train)
Print(“X_test:\n”,X_test)
Print(“y_test:\n”,y_test)

Regressor=LinearRegression()
Regressor.fit(X_train,y_train)

Print(“Coefficients:”,regressor.coef_)
Print(“Intercept: ”,regressor.intercept_)