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Knowing which customers might churn is helpful, but uplift modeling can give you a new window into the nuances of customers' responses, among other applications.
How to build better training examples in a fraction of the time.
I'll give a shoutout in the subsequent Tackling Competitions Post to the person with the best score in the previous post as an added incentive!
To make it easier to understand how a feature was generated automatically, Featuretools now has the ability to graph the lineage of a feature.
Never made an analytical model, or don't have enough time to dedicate to learning statistics, data science, and programming... but you know the business and have questions to answ...
It's tedious to capture and input data by hand. Instead, capture data in image form and extract the data from those images.
Want to bring the power of Python to your data visualization -- all within Designer? Learn how to use the Python Tool to create charts, graphs and plots.
What if you believe something is happening in your data that isn’t precisely reflected by a single variable you measured -- maybe because it wasn’t or couldn’t be observed? Learn a...
Quantifying the quantity and quality of treasured social ties might feel a little strange. But the strength of social relationships is important in the “Analytics of Happiness,” as...
Now, at your fingertips, a one-page summary of key Python Tool functions! You’ll also find productivity-maximizing Jupyter Notebook keyboard shortcuts and some essential functions...
You want to jump right into that fantastic dataset, but wait! Let's do some exploration to map out your journey and gain even more insight.