Data Engineering and Visualization
Collecting, cleaning, labeling, storing and visualizing data for machine learning.
AI-220 Year 2 3 credits 5 lessons planned
Offered by HSM University · Artificial Intelligence
Course content
- 1Data sources and collectionComing
- 2Cleaning and feature engineeringComing
- 3Labeling and dataset documentationComing
- 4Data pipelines and storageComing
- 5Visualization and communicationComing
Requirements
Recommended background. You can start any course at any time.
Description
Collecting, cleaning, labeling, storing and visualizing data for machine learning.
Part of the Science stream, typically taken in year 2.