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Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow
book

Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow

by Hisham El-Amir, Mahmoud Hamdy
December 2019
Intermediate to advanced
563 pages
10h 34m
English
Apress
Content preview from Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow
© Hisham El-Amir and Mahmoud Hamdy 2020
H. El-Amir, M. HamdyDeep Learning Pipelinehttps://doi.org/10.1007/978-1-4842-5349-6_15

15. Applications

Hisham El-Amir1  and Mahmoud Hamdy1
(1)
Jizah, Egypt
 

Case Study—Tabular Dataset

Understanding the Dataset

In this section, we are going to understand the dataset. By understanding, we mean that we are going to extract any information we can get from this data and we are going to exercise on “Titanic: Machine Learning from Disaster” from Kaggle (www.kaggle.com/c/titanic). I was also inspired to do some visual analysis of the dataset from some other resources I came across. So, let us start coding.

If you browse the dataset page on Kaggle, you will notice that the page gives information about the details of the ...

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Publisher Resources

ISBN: 9781484253496Purchase LinkPublisher Website