import tensorflow as tf import numpy as np import pandas as pd import numpy as np from sklearn import linear_model import tensorflow as tf import numpy as np

df = pd.read_csv('/work/jass.csv') df

reg = linear_model.LinearRegression() reg.fit(df.drop('ViJ', axis='columns'),df.ViJ)

reg.coef_

reg.intercept_

reg.predict([[750, 35000, 15, 2000]])

df2 = pd.read_csv('/work/jasso2.csv') df2

reg1 = linear_model.LinearRegression() reg1.fit(df2.drop('ViJ2', axis='columns'),df2.ViJ2)

reg1.coef_

reg1.intercept_

reg1.predict([[20, 35000, 1, 3000]])