- Introducing the structure of Machine Learning and Deep Learning and their application in real problems
- Introducing Machine Learning and Deep Learning algorithms and launching them in projects
- Implementing Machine Learning and Deep Learning algorithms in Python
- Familiarity with Python syntax for using Machine Learning and Deep Learning
- Familiarity with Prediction Models
- Data preparation and Visualization for use in Machine Learning and Deep Learning algorithms
- Using Case Studies in projects
- Learning how to use APIs to collect up-to-date data and
Machine learning and Deep learning have revolutionized various industries by enabling the development of intelligent systems capable of making informed decisions and predictions. These technologies have been applied to a wide range of real-world projects, transforming the way businesses operate and improving outcomes across different domains.
