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johnston b applied supervised learning python 2019

Type:: E-books
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Size:: 7.0 MB
Uploaded On:: Sept. 2, 2019, 7:31 a.m.
Added By:: andryold1
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Info Hash:: DAC313BEEA55D57A16A881D5AB976B5A05CD7E2B

Textbook in PDF format Explore the exciting world of machine learning with the fastest growing technology in the world ! Key Features Understand various machine learning concepts with real-world examples Implement a supervised machine learning pipeline from data ingestion to validation Gain insights into how you can use machine learning in everyday life Book Description Machine learning—the ability of a machine to give right answers based on input data—has revolutionized the way we do business. Applied Supervised Learning with Python provides a rich understanding of how you can apply machine learning techniques in your data science projects using Python. You'll explore Jupyter Notebooks, the technology used commonly in academic and commercial circles with inline code running support. With the help of fun examples, you'll gain experience working on the Python machine learning toolkit—from performing basic data cleaning and processing to working with a range of regression and classification algorithms. Once you’ve grasped the basics, you'll learn how to build and train your own models using advanced techniques such as decision trees, ensemble modeling, validation, and error metrics. You'll also learn data visualization techniques using powerful Python libraries such as Matplotlib and Seaborn. This book also covers ensemble modeling and random forest classifiers along with other methods for combining results from multiple models, and concludes by delving into cross-validation to test your algorithm and check how well the model works on unseen data. By the end of this book, you'll be equipped to not only work with machine learning algorithms, but also be able to create some of your own!

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Johnston B. Applied Supervised Learning with Python 2019.pdf 7.0 MB

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johnston b applied supervised learning python 2019

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