How to Load Machine Learning Data From Scratch In Python
Last Updated on December 11, 2019
You must know how to load data before you can use it to train a machine learning model.
When starting out, it is a good idea to stick with small in-memory datasets using standard file formats like comma separated value (.csv).
In this tutorial you will discover how to load your data in Python from scratch, including:
- How to load a CSV file.
- How to convert strings from a file to floating point numbers.
- How to convert class values from a file to integers.
Kick-start your project with my new book Machine Learning Algorithms From Scratch, including step-by-step tutorials and the Python source code files for all examples.
Let’s get started.
- Update Nov/2016: Added an improved data loading function to skip empty lines.
- Update Aug/2018: Tested and updated to work with Python 3.6.
Comma Separated Values
The standard file format for small
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