Python Tools for Data Scientists Pocket Primer
Autor Oswald Campesatoen Limba Engleză Paperback – 7 dec 2022
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Specificații
ISBN-13: 9781683928232
ISBN-10: 1683928237
Pagini: 322
Dimensiuni: 152 x 229 x 18 mm
Greutate: 0.47 kg
Ediția:1. Auflage
Editura: Mercury Learning and Information
ISBN-10: 1683928237
Pagini: 322
Dimensiuni: 152 x 229 x 18 mm
Greutate: 0.47 kg
Ediția:1. Auflage
Editura: Mercury Learning and Information
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Notă biografică
Campesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).
Cuprins
1: Introduction to Python
2: Introduction to NumPy
3: Introduction to Pandas
4: Working with Sklearn and SciPy
5: Data Cleaning Tasks
6: Data Visualization
Appendices:
A: Working with Data
B: Working with awk
Index
2: Introduction to NumPy
3: Introduction to Pandas
4: Working with Sklearn and SciPy
5: Data Cleaning Tasks
6: Data Visualization
Appendices:
A: Working with Data
B: Working with awk
Index