Managing Data for Machine Learning Projects
Big data, labeled data, noisy data. Machine learning projects all need to look at data. Data is a critical aspect of machine learning projects, and how we handle that data is an important consideration for our project. When the amount of data grows, and there is a need to manage them, allow them to serve multiple projects, or simply have a better way to retrieve data, it is natural to consider using a database system. It can be a relational database or a flat-file format. It can be local or remote.
In this post, we explore different formats and libraries that you can use to store and retrieve your data in Python.
After completing this tutorial, you will learn: