Advanced Data Science with Python
Two days of nothing but Data Science, Machine Learning and advanced Python skills. You know Python and Machine Learning, but working with it on a daily basis is a different story. This course is packed with best practices, models, code, algorithms and a framework to improve your projects.
Clients we've helped
What you'll learn
- How to enforce best practices in your Python programs using concise and reproducible code
- How to make a proper Python machine learning module for productionizing
- Statistical techniques for (re)sampling your data
- In-depth info about several widely-used machine learning algorithms
- How to create your scikit-learn transformers and estimators
- How to train and evaluate your machine learning model using pipelines in scikit-learn
Classes in Python
Dunder & custom methods; private & protected attributes; parent classes
Peer review and assess existing code
Redeveloping a forecasting a project from scratch (Pandas & pipelines workflow)
Data quality & Feature Engineering
Code review & issue correction in ML applications
Object oriented programming in Scikit-Learn
(Automatic) Feature selection
Code style & testing
Introduction to packaging & interfaces
Data Science Learning Journey
This online course is perfect for
Data Scientists, who are familiar with Python and wish to become more effective at creating predictive models by applying Machine Learning to their organization’s data. Experience with Python and machine learning basic is required. If you’re not quite there yet, we recommend the Certified Data Science with Python Foundation Training course as preparation for this training.
What will you learn during Advanced Data Science with Python?
After this training, you will be able to combine state-of-the-art Machine Learning algorithms and advanced Python tools to build top-notch predictive/classification models using clear, concise and maintainable code.
The Right Format For Your Preferred Learning Style
It was a hands-on and tangible course. We could apply what we learned in a matter of minutes. The trainer did a great job of answering ad-hoc questions that complemented the material. We appreciated the fact that we could apply what we were taught directly to our company.
I liked every aspect of this training and would like to thank the trainers. They did an excellent job of explaining how to use Spark for data science. This is the fourth GoDataDriven training I’ve followed. All were great, but this was the best one so far.
Climbing a steep Python and Machine Learning curve in three days. This would have taken me months on my own.