Advanced Data Science with Python
4 December, 2023 – Amsterdam, The Netherlands
Go beyond the basics with this Advanced Data Science with Python training. Packed with best practices, models, code, algorithms, and a framework to improve your projects, you will rapidly advance your skills by immersing yourself in two days of nothing but data science, machine learning, and Python.
Looking to upskill your team(s) or organization?
Nico will gladly help you further with custom training solutions.
Nico de Jonge
Training Advisor
Duration
2 days
Time
09:00 – 17:00
Language
English
Lunch
Included
Certification
No
Level
Professional
What will you learn?
This course combines conceptual explanations with practical exercises in a very interactive setting, which allows you to get the most out of our curated materials and the experience of our trainers.
Key takeaways
Coding Best Practices
- Improve readability and reproducibility with pandas, chaining, and pipelines.
- Avoid data leakage with sci-kit-learn pipelines.
- Improve your Python code readability and scalability with Python best practices and code quality checks.
Improve Your Model
- Enhance model performance with automated feature selection.
- Use feature engineering to supplement your data with more predictive features.
- Learn about more in-depth data exploration to make more effective modeling choices.
Program
- Scikit-learn refresher
- Organizing machine learning workflows with scikit-learn pipelines
- Best practices in pandas
- Dealing with imbalanced data
Who is it for?
This training is perfect for Data Scientists and Machine Learning enthusiasts who are familiar with Python and wish to enhance their skills in creating predictive models by applying Machine Learning to their organization’s data.
Requirements
You have (some) data science and machine learning experience and you are excited to further develop your skills.
If you are unsure about your Python proficiency, we recommend checking out our Data Science with Python training program to assess your readiness for this course.
Why should I
follow this training?
Create your own custom scikit-learn objects that are composable with scikit-learn pipelines.
Get best practices for working with Python, Pandas, and scikit-learn.
Improve your model performance.
What does it look like?
What else
should I know?
After registering for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements and share literature if you need to prepare.
See you soon!
Course information
All literature and course materials are included in the price.
After registering for this course, you will receive a confirmation email with practical information.
Meet the trainers
Lucy Sheppard
Meet Lucy Sheppard, trainer at Xebia Academy. Lucy is a data science trainer and teaches many Python courses as well as dbt Learn.
James Hayward
Meet James Hayward, a data science trainer at Xebia Academy. Get to know him here.
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