May 2020
Intermediate to advanced
404 pages
10h 52m
English
Content preview from Hands-On Python Deep Learning for the Web
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Preparing the dataset
The Iris flower dataset, in its original form, is a CSV file containing the data of 150 rows split into 5 columns in a comma-separated format, with each entry separated by a new line.
However, we will be using a JSON format of the data for easier operability with JavaScript. The dataset in JSON format can be downloaded from https://gist.github.com/xprilion/33cc85952d317644c944274ee6071547.
You can use simple functions in any language to convert a CSV file into a JSON file, with the column names changed as per the following conventions:
- Sepal length: sepal_length
- Sepal width: sepal_width
- Petal length: petal_length
- Petal width: petal_width
- Variety: species
We will use these property names in JSON while developing the ...
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