Workflow

Introduce the team, the project background & re quirements and define the project scope and objectives

Gathering observations and measurements to train, validate and test the model.

Detect and remove corrupt or inaccurate observations.

Get summary-level insights of the data: Query it, visualize it, and identify relationships among the data.

transforming raw data into features that better represent the underlying problem to the predictive models, resulting in improved model performance.

Select the most important features

Build and assess various models based on several different machine learning techniques.

Develop and document a plan for deploying the model in batch mode or stream mode.

Develop a monitoring and maintenance plan to avoid issues during the operational phase.

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6 Avenue Neil Armstrong, Immeuble Le Lindbergh 33692 Mérignac Cedex - France

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Mon - Fri: 09.00 to 18.00

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