Data Science

Machine learning & data science for beginners and experts alike.

Developer

Python

Minimal Dependencies of Minimal Dependencies: A Story Result...

Getting adequate support and testing in place for minimum dependency resolution is crucial in ensuring that users won’t run into unexpected problems.

Building Explainable AI: How to Get Prediction Explanations...

Being able to explain a model’s predictions is a major challenge for Data Scientists. Luckily both Alteryx ML and Intelligence suite (IS) can do the hard work for you.

Python

Introducing Woodwork - An Open Source Python Library for Ric...

We are excited to announce a new addition to our open-source projects: Woodwork, a Python library that provides robust methods for managing and communicating data typing informatio...

Python

Time Series

Detecting and Correcting Irregularly Spaced Time Series Data...

Time series data quality issues are very frequent in the real world but make it hard to predict on. This is where Woodwork and EvalML’s new tools come in.

Python

Advancing Model Understanding: Human-Readable Pipeline Expla...

Our open-source Python AutoML package, EvalML, offers a wide variety of ways to understand the machine learning models that you train.

Machine Learning

Building a Recommendation Engine with Alteryx + Python

With a bit of data science plus Alteryx Designer, we built a recommendation engine for the Alteryx Community in under 30 days.

Python

Time Series

Data Science Portal Discussion Highlights, July 2021

We spotlight some of the most active, thought-provoking, useful, and/or just plain entertaining discussions from the Data Science Portal in July.

Machine Learning

Accomplish More with Automated Machine Learning

Automated machine learning can help us all accomplish more. Learn more about autoML and how our open-source Python library EvalML makes it easier to explore that potential.

Developer

Python

Jupyter Flow FAQ

Got a question? The Jupyter Flow tool FAQ may be able to help!

Developer

Python

Jupyter Flow Basics Guide

It's about time we could integrate Jupyter Notebooks and their environments into workflows, share them, and run them on Server! Here's how to use the Jupyter Flow tool to do just t...

Developer

Python

Introducing the Jupyter Flow Tool

Schedule Jupyter notebooks on Server. Use and share them in Alteryx workflows. Integrate Jupyter notebooks and their environments into your analytics process. The Jupyter Flow tool...

Best Practices

Feature Engineering 101: Introduction to Featuretools

Construct new features automatically to build better models, save time and avoid the mistakes that can occur in a manual process.