Mage Blog

Before training ML models from multiple datasets, we need to understand how datasets work together. We’ll cover relationships in data using join and merge.

We answer the question of how you can use artificial intelligence (AI) for marketing and provide real life examples.

In AI, it’s common to combine data; especially when training models. We’ll cover how to look at relationships when combining dataframes with concat.

AI provides solutions to predicting customer lifetime value (LTV) to increase your bottom line by improving customer retention, brand loyalty, and growth.

DevEd is a new branch of technical content creation for product developers, focused on giving back to the community by creating quality content.

In part 3, we’ll be looking at how to apply transformations to our datasets in order to calculate the cost of a golden ticket to survive on the Titanic.

We’ll explore the different types of Artificial Intelligence (AI) and examples of how they are used today.

Having a continuous integration/continuous delivery pipeline greatly speeds up the process of testing, building, and deploying without sacrificing quality.

Improve user experience by transitioning from a searching experience to a surfing experience. Learn how to do filter, sort, and group data with Python.

The impact of the pandemic has manufacturers focus on operational efficiency and production quality and mitigate risk, to alleviate safety concerns.