When to Use Column_correction.yxmd:
If extra columns for loans and credits exist, like in the example document, then use the output gotten from this as input for the main workflow.
We create next generation technologies, tools, and products to unleash the full potential of machine learning. Our mission is to turbo-charge machine learning and data science efforts by creating open source projects that form the foundation of ML capability within the Alteryx Platform.
We currently have four Python libraries available for machine learning aficionados to use.
- Featuretools automates the feature engineering process
- EvalML automates model building, includes data checks, and even offers tools for model understanding
- Compose automates prediction engineering
- Woodwork standarizes data typing across all of our libaries
The Alteryx Open Source team also shares strategies for making the most of these libraries and insights they’ve learned along the way on the Innovation Labs blog. Some recent posts include:
- Type Inference for Natural Language
- Introducing Woodwork - An Open Source Python Library for Rich Semantic Data Typing
- Detecting and Correcting Irregularly Spaced Time Series Data With EvalML
- Advancing Model Understanding: Human-Readable Pipeline Explanations
Be sure to follow @AlteryxOSS on Twitter, and subscribe to our open source newsletter. And if you’d like to work on awesome tools like these every day, check out our careers site and get in touch.