Posts on machine learning, predictive analytics, the role of data in business, and much more!
Discover the 10 steps for effective data preparation in analytics. Ensure accurate, consistent, and reliable data for meaningful insights.
Multi-sheet Excel datasets are commonly used by many businesses. However, they are tricky to use for predictive analytics due to their...
The Engine’s formula editor lets you easily use custom-made data wrangling formulas, to transform datasets in your data preparation step.
Do you often find preparing time-series data from raw sources complex? With a newly built recipe action, the Engine makes this process accessible for...
Working with multiple datasets is a must in any ML project. Join tables or lookup info from tables easily with the Join and Lookup actions on the...
Comparison of AWS' recently announced data preparation tool, AWS Glue DataBrew, and The AI & Analytics Engine's Smart Data Preparation feature.