Machine Learning(Python):

Need help resolving errors and how to load a csv dataset to test the stochastic gradient descent

In [5]: import pandas as pd import numpy as np import matplotlib.pyplot as plt from sklearn.metrics import least_squared_error from sklearn.model_selection import train_test_split ImportError Traceback (most recent call last) in 3 import matplotlib.pyplot as pit 4 --> 5 from sklearn.metrics import least_squared_error 6 from sklearn.model_selection import train_test_split ImportError: cannot import name 'least_squared_error' from 'sklearn.metrics' (C:\users\user\appdata\local\programs\python\pytho n39\lib\site-packages\sklearn\metrics __init__.py) In [ ]: def sgd(x,y,learning_rate=0.3,n_epochs=1000,k=30): W= np.random.randn(1, 15) b = np.random.randn(1,2) epoch=1 while epoch