Data quality matters when building and refining a Classification Model

In the world of machine learning, data takes centre stage. It’s often said that data is the key to success. In this blog post, we emphasise the significance of data, especially when building a comment classification model. We will delve into how data quality, quantity, and biases significantly influence machine learning model performance. Additionally, we’ll explore techniques like undersampling as […]

Use pytest to run Great Expectations checkpoints

At Qxf2, we’ve successfully integrated Great Expectations into majority of our projects. We now have GitHub workflows in place to run Great Expectations checkpoints before deploying our applications to production. However, as our test suite expanded, we encountered a few challenges: 1. Triggering valid checkpoints. 2. Aggregating checkpoint results. To address these issues, we turned to pytest. In this post, […]