Description
In this course, you will :
- This course takes you from understanding the fundamentals of a machine learning project.
- Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used.
- Learners will also gain skills to contrast the practical consequences of different data preparation steps and describe common production issues in applied ML. .