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.
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.
Successfully complete this lab by achieving the following learning objectives:
- 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.
- Prepare the Iris Data
Load the iris data into your program. Convert the raw data to appropriate types for training a model.
- Load the Data into a TensorFlow Dataset
Split the data into features and labels. Create a Dataset from the features and labels.