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Purpose(3)

Creating and training ML models in Dataiku : Master AutoML interfaces, understand the different algorithms on offer and build your first models.

Evaluate, adjust and interpret results : Analyze the performance of your models, adjust their parameters and integrate explainability metrics.

Deploy and maintain your models in production : Deploy your predictions on flow, use custom models, and prepare for integration into a MLOps strategy.

Content

Introduction to machine learning

The basics of machine learning

Evaluate, adjust and interpret models

Deploying predictive models on flow

Customized ML templates

Prerequisites

None

Duration 1 jours

Dataiku Developer & MLOps

This 5-module training course guides you through the main stages of implementing a Machine Learning project in Dataiku: from understanding the models to their automated deployment on the flow, right through to the implementation of customized models. It is aimed at both technical profiles and data scientists.

References : FDDM25

Download the training course