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Large amounts of data can contain many insights. These insights provide added value for business operations. You want to do this via automatic processes, namely with Machine Learning.

Spoken language
English
Language material
English
Half-days
2
Data

Machine Learning in Python (EN)

Mon 06 January 2025 09:00 - 16:30 Location: Utrecht
This training is conducted by: Camille De Valk
€1600,- Enrol
Day Date Time Location Trainer
Mon 06-01-2025 09:00 - 16:30 Utrecht Camille De Valk
Mon 13-01-2025 09:00 - 16:30 Utrecht Camille De Valk

What is Machine Learning in Python

Contents

– Large amounts of data can contain many insights. These insights in turn provide added value for business operations. But finding and checking these insights manually takes a lot of time. You would rather do this via a smart automatic process, namely with Machine Learning.

– Machine Learning in Python teaches you how to set up Machine Learning processes in Python, the most widely used programming language in Data Science.

– You will be introduced to terms such as

– CRISP-DM

– Scikit-learn

– K-fold Cross-Validation

– Random Forest

– K-means Clustering

– Quantile Regressors

– Convolutional Neural Network

– We will discuss different algorithms within Machine Learning and how you can apply them in Python. We also discuss how to build a Machine Learning pipeline in Python, how to ensure high data quality and how to detect and prevent model drift.

– During the training, the application of what you learn is central and you are challenged to work with the theory in practical cases. The training is given by people who work in practice with Machine Learning systems in Python and who know what it is about. They want to pass on that practical knowledge.


Who should attend Machine Learning in Python

The Machine Learning in Python training is suitable for:

  • Starters at the start of their career
  • People making a career switch to Data Science
  • People working in IT, especially in departments such as Data Science
  • Business Analysts
  • Information Analysts


Prerequisites

Beginning skills and general knowledge of Python. The ‘Introduction Python’ course addresses these topics and is ideally suited for pre-training.

With this training you need a laptop.


Objectives

After this training, the participant is able to answer the questions:

  • How do you set up a Machine Learning pipeline in Python?
  • What are the advantages and disadvantages of different Machine Learning algorithms?
  • How do you extract insights from large amounts of data?


Classroom, online, blended and in-company

At Capgemini Academy you learn in the way that suits you. Do you prefer classroom training, online or a combination of the two (blended)? You can follow most training courses in-company: within your own organization. We use a variety of tools to make learning even more fun and effective. Consider videos, games, quizzes, webinars and case studies, for example. And you can always contact your trainer with any questions.

Sfeerbeeld buiten met man in bordeaux overhemd

In-company training courses

With an in-company training you have several advantages:

  • You choose the location.
  • You train with your colleagues, ensuring it aligns with your practice.
  • The trainer tailors explanations, examples and assignments to your organization.
  • In consultation, exercises can be adapted to organization-specific questions.

Request more information or a quote.

Why Capgemini Academy?

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    Part of one of the largest, most innovative IT service providers worldwide.
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    Large training offer: both fully online and available in class.
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    Most training courses include certification and exam.
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    Trainers with passion, didactic skills and a good dose of practical experience as an IT professional.
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    Our students rate our training courses with an average of 8.8.