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The data may contain private information New to ML. Tensorflow, PyTorch, CNTK, or ONNX Data Science Talk: Python & Data at UCSC Pip: pip install -r requirements.txt Code import numpy as np import matplotlib.pyplot as plt from sklearn.linear_model import SGDRegressor from sklearn.neural_network import MLPClassifier from sklearn.neural_network import MLPRegressor from sklearn.linear_model import Lasso from sklearn.linear_model import LassoLars from sklearn.svm import SVC from sklearn.model_selection import cross_val_score import pandas as pd from sklearn.metrics import classification_report from sklearn.metrics import roc_curve, roc_auc_score from sklearn.datasets import load_iris from sklearn.cross_validation import KFold import cPickle as pickle from pydotplus import DotStyle from ipywidgets import interactive, interactive_plot, fixed, jupyter_html, MultiLine, Annotation, style #from IPython.display import Image #from sklearn.model_selection import cross_val_score #import



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