Lab
A Cloud Guru

Load a TensorFlow Dataset with Web Data

In this lab, you will practice retrieving data from the internet using Python. Once downloaded, you will parse it and load it into a TensorFlow Dataset. ### Prerequisites This lab is designed to be completed in PyCharm running on your machine. You should have PyCharm and TensorFlow installed before attempting this lab. We will not be covering this setup in the lab.

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Path Info

Level

Intermediate

Duration

30m

Published

Aug 13, 2021

Challenge

Retrieve Iris Data from the Internet

Download the iris data from the UC Irvine Machine Learning Repository.

Your code should be respectful of their bandwidth and not repeatedly download the data once it is available locally.
Challenge

Prepare the Iris Data

Load the iris data into your program. Convert the raw data to appropriate types for training a model.
Challenge

Load the Data into a TensorFlow Dataset

Split the data into features and labels. Create a Dataset from the features and labels.

Author

A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.