from tensorflow import kerasimport pandas as pdfrom sklearn import datasetsfrom sklearn.model_selection import train_test_splitimport numpy as npimport matplotlib.pyplot as plt data = datasets.load_iris() df = pd.DataFrame(data.data, columns = data.feature_names) df["species"] = data.target df.head() df.shape(150, 5) df.info()RangeIndex: 150 entries, 0 to 149Data columns (total 5 columns): # C..