np random randn 28 29

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Antonio
23 Oct 2016
1>>> 2.5 * np.random.randn(2, 4) + 3
2array([[-4.49401501,  4.00950034, -1.81814867,  7.29718677],  #random
3       [ 0.39924804,  4.68456316,  4.99394529,  4.84057254]]) #random
4
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Madalyn
10 Oct 2020
1# train test split
2df = pd.read_csv('file_location')
3mask = np.random.rand(len(df)) < 0.8
4train  = df[mask]
5test = df[~mask]
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