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210823 ||| eng |
| 100 |
1 |
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|a Deza, Alfredo
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| 245 |
0 |
0 |
|a Python for Data Science with Colab and Pandas in One Hour Video Course
|c Deza, Alfredo
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| 250 |
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|a 1st edition
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| 260 |
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|a [Erscheinungsort nicht ermittelbar], Boston, MA
|b Pragmatic AI Solutions, Safari
|c 2021
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| 300 |
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|a 1 video file, circa 54 min.
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| 653 |
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|a Electronic videos ; local
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| 700 |
1 |
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|a Gift, Noah
|e VerfasserIn
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
|
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|b OREILLY
|a O'Reilly
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| 500 |
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|a Online resource; Title from title screen (viewed February 6, 2021)
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| 856 |
4 |
0 |
|u https://learning.oreilly.com/videos/~/62062021VIDEOPAIML/?ar
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 000
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| 520 |
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|a Learn to do Data Science with Python, Pandas and Colab Notebook in one hour! This video lesson takes you through a Covid-19 Dataset from the NyTimes and shows you how to explore it. The libraries involved include: Pandas, Colab, Plotly, sklearn, numpy and matplotlib. A suggested structure for Data Science projects is included: Ingest, EDA, Modeling and Conclusion. Finally, the course wraps up with how to integrate Cloud based business analytics including the following tools. AWS Cloud9, IPython, AWS Rekognition, AWS Translate and AWS Comprehend. These solutions are explored with both boto3 and the AWS Console. Follow along with the Github Resource: https://github.com/paiml/minimal-python/blob/master/Chapter7_data_science.ipynb
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