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The Machine Learning Workshop

You're reading from   The Machine Learning Workshop Get ready to develop your own high-performance machine learning algorithms with scikit-learn

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781839219061
Length 286 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Hyatt Saleh Hyatt Saleh
Author Profile Icon Hyatt Saleh
Hyatt Saleh
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Toc

Program Definition

The following section will cover the key stages required to construct a comprehensive machine learning program that allows easy access to the trained model so that we can perform predictions for all future data. These stages will be applied to the construction of a program that allows a bank to determine the promotional strategy for a financial product in its marketing campaign.

Building a Program – Key Stages

At this point, you should be able to pre-process a dataset, build different models using training data, and compare those models in order to choose the one that best fits the data at hand. These are some of the processes that are handled during the first two stages of building a program, which ultimately allows the creation of the model. Nonetheless, a program should also consider the process of saving the final model, as well as the ability to perform quick predictions without the need for coding.

The processes that we just discussed are...

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