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Hands-on Scikit-learn for Machine Learning


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Hands-on Scikit-learn for Machine Learning
Hands-on Scikit-learn for Machine Learning
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 9 Hours | 1.57 GB
Genre: eLearning | Language: English

Scikit-learn is arguably the most popular Python library for Machine Learning today. Thousands of Data Scientists and Machine Learning practitioners use it for day to day tasks throughout a Machine Learning project’s life cycle. Due to its popularity and coverage of a wide variety of ML models and built-in utilities, jobs for Scikit-learn are in high demand, both in industry and academia.

If you’re an aspiring machine learning engineer ready to take real-world projects head-on, Hands-on Scikit-Learn for Machine Learning will walk you through the most commonly used models, libraries, and utilities offered by Scikit-learn.

By the end of the course, you will have a set of ML problem-solving tools in the form of code modules and utility functions based on Scikit-learn in one place, instead of spread over several books and courses, which you can easily use on real-world projects and data sets.

All the code and supporting files for this course are available on Github at: http://github.com/PacktPublishing/Hands-on-Scikit-learn-for-Machine-Learning-V-

Hands-on Scikit-learn for Machine Learning

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