Machine Learning in Python (NL)
| Day | Date | Time | Location | Trainer | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wed | 05-03-2025 | 09:00 - 16:30 | Utrecht | Camille De Valk | ||||||
| Wed | 12-03-2025 | 09:00 - 16:30 | Utrecht | Camille De Valk | ||||||
What is Machine Learning in Python
Machine Learning in Python is a comprehensive training that introduces you to the process of extracting insights from large amounts of data using Python, the most widely used programming language in Data Science. You will learn about various concepts such as CRISP-DM, Scikit-learn, K-fold Cross-Validation, Random Forest, K-means Clustering, Quantile Regressors, and Convolutional Neural Network. The training will guide you on how to set up a Machine Learning pipeline in Python, improve data quality, and detect and prevent model drift. The training emphasizes the application of learned concepts through practical cases, facilitated by trainers who have real-world experience with Machine Learning systems in Python.
Training in Machine Learning in Python is a valuable investment. Not only will you learn theoretical concepts, but you will also gain practical insights and best practices from our trainers who are experts in the field. Their expertise adds a practical dimension to the theoretical concepts, providing real-world insights and best practices.
Who should attend Machine Learning in Python
- Data Analysts: Enhance your data analysis skills by learning to extract insights from large datasets.
- Data Scientists: Learn to build efficient Machine Learning pipelines in Python.
- Data Engineers and Software Engineers: Expand your skill set by learning the most widely used programming language in Data Science.
Prerequisites
Beginning skills and general knowledge of Python. The ‘Introduction Python’ training addresses these topics and is ideally suited for pre-training.
During this training you need a laptop on which you can install software: Python.
Objectives
At the end of the training, you will be able to:
- Set up a Machine Learning pipeline in Python.
- Understand the advantages and disadvantages of different Machine Learning algorithms.
- Extract insights from large amounts of data.
This training is designed to provide you with the most relevant and up-to-date knowledge in the field of Machine Learning using Python.
e-CF competences with this course
- A.6. Application Design
- B.1. Application Development
- D.10. Information and Knowledge Management
- E.1. Forecast Development
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.
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.
