Data Science

Machine learning & data science for beginners and experts alike.

Displaying articles for: February 2021

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.

Best Practices

Data Normalization: What You Need to Know Before Feature Eng...

Especially ahead of feature engineering, it is important to have an understanding of how and why our data is structured - something called data normalization.