ML Practitioner
Hone your skills on the visual tools in Dataiku for building machine learning models
Level
Duration
Target Profile
All
Approx. 4h
Advanced Analytics Designer (Data scientists)
You’ll be able to:
- Create, evaluate, and tune machine learning models with Dataiku's visual ML tool.
- Deploy your model from the Lab to the Flow and apply it to new data.
- Analyze your data with interactive statistics.
- Take the ML Practitioner certification.
Recommended Courses to Prepare for Certification
Additional Learning
Machine Learning Basics
Get started with visual machine learning in Dataiku.
90 min
Scoring Basics
After finishing ML Basics, learn how to deploy prediction models to the Flow to score new data.
60 min
Interactive Statistics
Learn how to use tools for visual statistics in Dataiku.
90 min
Time Series Preparation
Learn how to prepare time series data with the Time Series Preparation plugin.
120 min
Time Series Analysis & Forecasting
Learn the fundamentals of analyzing and forecasting time series data.
60 min
Image Classification and Object Detection without Code
Learn how to use the Dataiku deep learning capabilities for image classification and object detection
90 min
NLP - The Visual Way
Learn how to prepare and model natural language data with visual tools in Dataiku.
60 min
Partitioned Models
Learn how to train a machine learning model on partitions of your dataset.
30 min
Responsible AI
Learn how to use features in Dataiku to keep the outputs of AI aligned with Responsible AI principles.
90 min
Machine Learning 102
Build on your knowledge of Dataiku's visual machine learning capabilities.
100 min
Intro to Machine Learning
Unravel the mystery of machine learning.
60 min