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Machine Learning Fundamentals

You're reading from   Machine Learning Fundamentals Use Python and scikit-learn to get up and running with the hottest developments in machine learning

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Product type Paperback
Published in Nov 2018
Publisher
ISBN-13 9781789803556
Length 240 pages
Edition 1st Edition
Languages
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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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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 in order to perform predictions for all future data. These stages will be applied to the construction of a program that allows for a bank to determine the promotional strategy for a financial product in their marketing campaign.

Building a Program: Key Stages

At this point, you should be able to preprocess 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 handled during the first two stages of building a program, which ultimately allow for 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 divided into...

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