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 […]

After all the hard work developing a project in Python, we want to share our project with other people. It can be your friends or your colleagues. Maybe they are not interested in your code, but they want to run it and make some real use of it. For example, you create a regression model that can predict a value based on input features. Your friend wants to provide their own feature and see what value your model predicts. But […]

When we finish a Python project and roll it out for other people to use, the easiest way is to present our project as a command-line program. If you want to make it friendlier, you may want to develop a GUI for your program so people can interact with it with mouse clicks while it runs. Developing a GUI can be difficult as the model of human-computer interaction is complex. Therefore, a compromise is to create a web interface for […]