| Description |
1 online resource (1 streaming video file (2 hr., 34 min., 56 sec.)) |
| Summary |
"Scikit-Learn is one of the most powerful Python Libraries with has a clean API, and is robust, fast and easy to use. It solves real-world problems in the areas of health, population analysis, and figuring out buying behavior, and more. In this course you will build powerful projects using Scikit-Learn. Using algorithms, you will learn to read trends in the market to address market demand. You'll delve more deeply to decode buying behavior using Classification algorithms; cluster the population of a place to gain insights into using K-Means Clustering; and create a model using Support Vector Machine classifiers to predict heart disease. By the end of the course you will be adept at working on professional projects using Scikit-Learn and Machine Learning algorithms."--Resource description page |
| Notes |
Title from title screen (viewed September 25, 2018) |
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Date of publication from resource description page |
| Performer |
Presenter, Nikola Živković |
| Subject |
Machine learning.
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Artificial intelligence.
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artificial intelligence.
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Artificial intelligence.
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Machine learning.
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| Genre/Form |
Instructional films.
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Instructional films.
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Films de formation.
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| Form |
Streaming video
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