Question: Machine Learning(Python): Need help resolving errors and how to load and read a csv dataset to test the stochastic gradient descent In [9]: import pandas

Machine Learning(Python):

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

Machine Learning(Python): Need help resolving errors and how to load and read

In [9]: import pandas as pd import numpy as np import matplotlib.pyplot as pit 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 plt 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\1 ocal\programs\python\python39\lib\site-packages\sklearn\metrics __init__.py) In [10]: def sgd (x,y,learning_rate=0.3,n_epochs=1000, k=38): w= np.random.randn (1,15) b = np.random.randn(1,2) epoch=1 while epoch", line 17 W= w-learning_rate*LW SyntaxError: invalid syntax

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