Data

Mage is an open-source data pipeline tool for transforming and integrating data. Find out how Mage compares to open-source ELT alternatives like Airbyte. We’ll break down the features, pricing, pros, cons, and more.

Mage is an open-source data pipeline tool for transforming and integrating data. Find out how Mage compares to ELT companies like Fivetran. We’ll break down the features, pricing, pros, cons, and more.

Data integration is synchronizing information between 1 system (e.g. Salesforce) and another (e.g Snowflake).

Clean data sets the foundation for the success model to be built. Ensuring your AI/ML models are build with clean data can save time and money.

Partitioners of machine learning (ML) find data cleaning the #1 pain point, but are the current resources available enough to solve the problem? Join our discussion as we try to find out what data scientists need.

Create accurate predictions, eliminate guesswork, and create magical customer experiences with Mage.

Wall street banks use a variety of tools when making market predictions. One of those tools is machine learning software. Using Mage to build a model that can estimate next-day prices can be another asset for individuals wanting to make predictions.

In this blog, we’ll explore discrete and categorical features in the Telco Customer Churn dataset using univariate graphical methods.

Once you have a model, how do you know how well it works? Become Neo and enter the Matrix.

Learn how to import and export training models to share with the world!