Prepare your data for machine learning like rockstar Data Engineer with DataRobot AI Platform
In this data preparation video tutorial with Data Robot AI Platform, we are focussing on the first part of the AI platform “Data Preparation”. In this step, you will develop an AI catalog from your data, and Data Preparation supports various functionalities as described below.
- 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
Why Data Robot AI Cloud Platform:
DataRobot AI Cloud is a new approach built for the demands, challenges, and opportunities of AI today. It’s a single system of record, accelerating the delivery of AI to production for every organization. All users collaborate in a unified environment built for continuous optimization across the entire AI lifecycle.
It is designed for collaboration for all users in the enterprise:
- Data Science & Analytics Experts
- IT & DevOps Teams
- Executives & Information Workers
The AI Platform has 3 main functionalities:
- Data Preparation (Make your data ready for machine learning)
- Machine Learning (AutoML, VisualML)
- MLOps (Deploy your model per your need)
The video tutorial guides you to the first function related to data preparation.
That’s all for now, thanks for your time.