Machine Learning in Python
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Machine Learning in Python
Opleiderscore:
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Anoniem Machine Learning in Python
"Training material and practice is prepared well. Lab is easy to use and practice even for beginner, but sufficiently explaining the material.
How would you rate the courseware? 10
Did the training live up to your (learning)expectations? 10
Would you recommend this training to someone else? 10
In how far are the things you’ve learned relevant to your work? 4
How would you rate Trainer? 10" - 14-05-2025 00:00
"Training material and practice is prepared well. Lab is easy to use and practice even for beginner, but sufficiently explaining the material… alles lezen - 14-05-2025 00:00
Startdata en plaatsen
place3543 KA Utrecht 13 feb. 2026 tot 20 feb. 2026Toon rooster event 13 februari 2026, 09:00-16:30, 3543 KA Utrecht, Machine Learning in Python event 20 februari 2026, 09:00-16:30, 3543 KA Utrecht, Machine Learning in Python |
place3543 KA Utrecht 18 aug. 2026 tot 25 aug. 2026Toon rooster event 18 augustus 2026, 09:00-16:30, 3543 KA Utrecht, Machine Learning in Python event 25 augustus 2026, 09:00-16:30, 3543 KA Utrecht, Machine Learning in Python |
Beschrijving
Wij voeren onze trainingen zowel op locatie als online uit. Kijk bij jouw training voor de locatie die van toepassing is.
Korte beschrijving
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.
Inhoud
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.
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-Validat…
Veelgestelde vragen
Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.
Wij voeren onze trainingen zowel op locatie als online uit. Kijk bij jouw training voor de locatie die van toepassing is.
Korte beschrijving
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.
Inhoud
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.
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.
Doelgroep
- 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.
Voorvereisten
Beginning skills and general knowledge of Python, in particular Pandas for data manipulation and Seaborn or Matplotlib for creating visualisations. 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.
Doelstelling
At the end of the training, you will be able to:
This training is designed to provide you with the most relevant and up-to-date knowledge in the field of Machine Learning using Python.
- 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.
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Anoniem Machine Learning in Python
"Training material and practice is prepared well. Lab is easy to use and practice even for beginner, but sufficiently explaining the material.
How would you rate the courseware? 10
Did the training live up to your (learning)expectations? 10
Would you recommend this training to someone else? 10
In how far are the things you’ve learned relevant to your work? 4
How would you rate Trainer? 10" - 14-05-2025 00:00
"Training material and practice is prepared well. Lab is easy to use and practice even for beginner, but sufficiently explaining the material… alles lezen - 14-05-2025 00:00
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Job Achterberg Machine Learning in Python
"Een probleemloze aanmelding, een praktisch ingerichte trainingsruimte en bovenal een bijzonder enthousiaste en toegewijde instructeur. Chris deed er alles aan om ons in 2 dagen zoveel mogelijk kennis bij te brengen en zorgde zelfs voor een extra introductie tot Deep Learning, wat oorspronkelijk niet tot het materiaal zou hebben behoord. De training heeft er voor gezorgd dat er nu een solide kennisbasis ligt voor verdere verkenning van Machine Learning.
Hoe waardeer je de trainingsmaterialen? 6
In hoeverre heb je geleerd wat je wilde leren? 8
In hoeverre zou je deze training aanbevelen? 8
In hoeverre is het geleerde toepasbaar? 8
Hoe waardeer je Trainer? 10" - 16-07-2024 00:00
"Een probleemloze aanmelding, een praktisch ingerichte trainingsruimte en bovenal een bijzonder enthousiaste en toegewijde instructeur. Chris… alles lezen - 16-07-2024 00:00
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Samuel Derks Machine Learning in Python
"De faciliteiten en organisatie rondom de training zijn top, geen op- of aanmerkingen hierover.
Chris van den Oetelaar wist zijn kennis en skills op gebied van ML en Python met veel energie en enthousiasme over te brengen. De groep was hierdoor gemotiveerd om actief mee te doen met de praktijkopdrachten, en de twee trainingsdagen vlogen voorbij. Chris heeft last-minute ook nog een extra onderdeel toegevoegd aan training dat van tevoren niet gepland stond, en dat kon iedereen in de groep waarderen van hem.
Hoe waardeer je de trainingsmaterialen? 10
In hoeverre heb je geleerd wat je wilde leren? 6
In hoeverre zou je deze training aanbevelen? 10
In hoeverre is het geleerde toepasbaar? 6
Hoe waardeer je Trainer? 10" - 15-07-2024 00:00
"De faciliteiten en organisatie rondom de training zijn top, geen op- of aanmerkingen hierover. Chris van den Oetelaar wist zijn kennis e… alles lezen - 15-07-2024 00:00
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Sean Neville Machine Learning in Python
"Chris was well organised and clear. He fitted in deep-learning as an extra module because we had left over time.
How would you rate the courseware? 10
Did the training live up to your (learning)expectations? 10
Would you recommend this training to someone else? 10
In how far are the things you’ve learned relevant to your work? 10
How would you rate Trainer? 10" - 12-07-2024 00:00
"Chris was well organised and clear. He fitted in deep-learning as an extra module because we had left over time.How would you rate the cours… alles lezen - 12-07-2024 00:00
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Evert jan Karman Machine Learning in Python
"The trainer was very knowledgeable, and experienced as a person working in the field, and it was a great pleasure to attend a training hosted by him.
I got great value out of the training because of the opportunity that it gave to do exercises, get a feel for the python objects. Also we have the notebooks now and they will serve as good examples that we can reference later. For a training that takes 2 days, that is of great value.
How would you rate the courseware? 8
Did the training live up to your (learning)expectations? 8
Would you recommend this training to someone else? 8
In how far are the things you’ve learned relevant to your work? 8
How would you rate Trainer? 10" - 12-07-2024 00:00
"The trainer was very knowledgeable, and experienced as a person working in the field, and it was a great pleasure to attend a training hoste… alles lezen - 12-07-2024 00:00
Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.