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Prepare Your Data for Machine Learning Like a Rockstar Data Engineer With DataRobot AI Platform

Prodramp via YouTube

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This tutorial demonstrates how to prepare data for machine learning in the DataRobot AI Platform. It covers exploratory analysis, feature creation, outlier removal, data joins, window functions, reshaping, column adjustments, and publishing prepared data to the AI Catalog.

Syllabus

- Video Start
- Video Content Intro
- AI Platform various functionalities
- Data Preparation
- AI catalog Library Video and explanation
- Creating Data Preparation Project
- Filtergram - EDA
- Creating Computational Features
- Outlier Detection and Removal
- Lookup Tables and Data Join
- Conditional Computational Features
- Window Functions with aggregation, ranking
- Shape function, pivot, transpose
- Feature or columns adjustment
- Publish data Lens to AI Catalog
- Recap
- Credits

Taught by

Prodramp

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