Type of course:
Digital learning, Lesson
Language:
EN
Duration:
45 minutes
Workload:
2 hours
Proficiency:
Intermediate
Target:
Manager, Professionals, Workers
In this task nugget, the learner will embark on a practical journey of utilizing Python for the in-depth analysis of real-world data and the training of machine learning algorithms for predictive purposes. Throughout this process, the learner will not only gain proficiency in applying industry-standard data science and machine learning practices but will also become adept at crafting Python code specifically tailored for machine learning applications. This hands-on experience is designed to equip learners with the essential skills and knowledge required to tackle complex data-driven challenges and foster a solid foundation in the field of data science and machine learning.
Learning outcomes
- Implement a cross-validation approach to fit a ML model
- Use python data science stack to work with real data
- Sketch a ML training protocol on python
Course Content
Topics
Digital Transformation, Artificial Intelligence (AI), Data mining, Data Analytics