Python Machine Learning Crash Course for Beginners:
Dive into the world of machine learning and create projects with real-world applications About This Video Build a face recognition application from scratch Prepare and train your data for your projects Learn real-world applications of your algorithms In Detail Machine learning is a field of computer...
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| Main Author: | |
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| Corporate Authors: | , |
| Format: | Electronic Video |
| Language: | English |
| Published: |
[Erscheinungsort nicht ermittelbar]
Packt Publishing
2021
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| Edition: | 1st edition. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781801077453/?ar |
| Summary: | Dive into the world of machine learning and create projects with real-world applications About This Video Build a face recognition application from scratch Prepare and train your data for your projects Learn real-world applications of your algorithms In Detail Machine learning is a field of computer science through which you can create complex models that perform multiple functions using mathematical input. Python is a popular choice to create machine learning models due to a plethora of libraries easily accessible. This course takes you through this impressive combination of Python and machine learning, teaching you the basics of machine learning to create your own projects. You'll begin learning about different types of machine learning models and how to choose the relevant ones for your project. You'll learn to optimize this model and apply performance metrics to track its performance. You'll also learn topics like regression, classification, and clustering to improve the performance of your model. You'll learn the basics of neural networks and use scikit-learn to perform calculations in your project. By the end of this course, you'll have created a face recognition application using everything you've learned in this course. |
| Item Description: | Online resource; Title from title screen (viewed April 23, 2021) |
| Physical Description: | 1 online resource (1 video file, approximately 9 hr., 28 min.) |
| ISBN: | 9781801077453 1801077452 |
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