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Streaming video
Author Živković, Nikola, author

Title Real-World Machine Learning Projects with Scikit-Learn / Živković, Nikola
Edition First edition
Published Packt Publishing, 2018
Online access available from:
Safari O'Reilly Videos Online    View Resource Record  

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Description 1 online resource (streaming video file) (2 hours, 34 minutes, 56 seconds)
Summary Predict heart disease, customer-buying behaviors, and much more in this course filled with real-world projects About This Video Observe data from multiple angles and use machine learning algorithms to solve real-world problem to make your projects successful. Use Regression Trees, Support Vector Machines, K-Means Clustering, and customer segmentation algorithms in real world situations. Apply your knowledge to practical real-world projects using ML models to get insightful solutions In Detail 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. The code bundle for this video course is available at - https://github.com/PacktPublishing/Real-World-Machine-Learning-Projects-with-Scikit-Learn
Notes Mode of access: World Wide Web
Packt Publishing 2018
Issuing Body Made available through: Safari, an O'Reilly Media Company
Subject Software engineering.
Form Streaming video
Author Safari, an O'Reilly Media Company