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- import pandas as pd
- import numpy as np
- from sklearn.model_selection import (train_test_split,KFold)
- from sklearn.metrics import mean_squared_error
- from sklearn.neural_network import MLPRegressor
- from sklearn.preprocessing import StandardScaler
- import matplotlib.pyplot as plt
- import glob
- %matplotlib inline
- from sklearn import datasets
- X_scaler = StandardScaler()
- X_train = X_scaler.fit_transform(X_train)
- X_test = X_scaler.transform(X_test)
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