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[DOCX File]Front Page | Statistical Science
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This “cat and non-cat” dataset is taken from Andrew Ng’s course on Coursera Neural Networks and Deep Learning. The dataset (“data.h5”) contains: a training set of train images labeled as cat (y=1) or non-cat (y=0) ; a test set of test images labeled as cat or non-cat; each image is of shape (num_px, num_px, 3) where 3 is for the 3 channels (RGB).
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[DOCX File]ela.kpi.ua
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НАЦІОНАЛЬНИЙ ТЕХНІЧНИЙ УНІВЕРСИТЕТ УКРАЇНИ «КИЇВСЬКИЙ ПОЛІТЕХНІЧНИЙ ІНСТИТУТ. імені ІГОРЯ СІКО
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[DOCX File]ictvt.uny.ac.id
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Processing data using python programing. The packages used mainly are Panda and Seaborn. In the initial stage, data preparation is carried out. The initial data has the CSV (Comma Separated Value) format. First, the process of importing data becomes a form of Dataframe.
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[DOCX File]Abstract - King's College London
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The first validation exercise is carried out on the whole sample of statements. I apply my code using the Python package spaCy to those statements and the result is dataframe where each row corresponds to a statement and the columns represent the elements of the grammar resulting from the original hand-coding and my machine-coding (see Table 2).
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[DOC File]management.ind.in
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School of Engineering . Scheme (Master of Computer Applications) Academic Program. Batch 2018-21(Normal Entry) & 2018-20 (Lateral Entry) Total Credits for the Batch 2018-21 Normal
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Dataframe transpose python