Data Science

Machine learning & data science for beginners and experts alike.

Best Practices

The Data Science Celebrity Q&A: Meet P. Value (aka p-value)

Our interviewer sat down with P. Value, the popular but sometimes mystifying statistical calculation, for an exclusive Q&A. Hear its origin story, and learn why its success isn’t j...

Common Use Case

Building a 'Return to Work' Timetable in Alteryx

Using Alteryx Designer to optimise the use of office space as governments begin to start allowing people to return to work.

Best Practices

Vital Signs: Assessing Data Health and Dealing with Outliers

Learn about the diagnostic powers of the Data Health Tool and find out how to take action on your results, especially outliers you find.

Best Practices

Normalization, Standardization, and Regularization in Altery...

Ever get a little confused by these three terms that sound so similar? Let's get some clarity on these important concepts.

Machine Learning

Using Text Data in EvalML with Woodwork

Learn how EvalML leverages Woodwork, Featuretools and the nlp-primitives library to process text data and create a machine learning model that can detect spam text messages.

Machine Learning

Exploring EvalML: Automatically Build, Optimize and Evaluate...

Go on a guided tour of how EvalML automatically builds, optimizes and evaluates supervised machine learning pipelines.

Machine Learning

Exploring Featuretools: Automated Feature Engineering for Ma...

Let's explore how Featuretools generates new features for use in machine learning — automatically, quickly and easily.

Best Practices

Metric Matters, Part 2: Evaluating Regression Models

Feeling determined, absolute or maximum? Find the right metrics for evaluating your regression models.

Best Practices

Metric Matters, Part 1: Evaluating Classification Models

The metrics you choose to evaluate your models matter, but with so many choices, which one should you select?

Release | New Feature

How to Use Automated Feature Engineering in Alteryx Intellig...

We are thrilled to announce a major new automated machine learning capability in Alteryx Intelligence Suite with the 2021.1 release: Feature Engineering.

Release | New Feature

Automated Feature Engineering with Alteryx Intelligence Suit...

We are thrilled to expand Intelligence Suite’s Machine Learning tool group with four new tools: Data Health, AutoML, Features Types, and Build Features.

Python

Easy, Open-Source AutoML in Python with EvalML

Introducing EvalML — an open-source library for automated machine learning (AutoML) and model understanding, written in Python.