Python Machine Learning training course

• Learn about framing a business application as a Machine Learning task
• Understand the role of labelled data, data cleaning and data transformation in Machine Learning systems
• Explore feature engineering techniques to extract useful attributes from your data
• Implement supervised and unsupervised learning algorithms using Python
• Evaluate the quality of your models, using evaluation metrics, model introspection and error analysis

The Python Machine Learning syllabus is designed to help analysts, researchers, BI experts and developers becoming familiar with the implementation of Machine Learning solutions, through the
use of tools in the Python programming language ecosystem.

Using a mix of frontal presentation and interactive examples, the course provides a comparison between Supervised and Unsupervised Learning, and offers an overview on core algorithms for predictive analytics, tackling tasks such as classification, clustering, regression analysis and dimensionality reduction. Notions of Neural Networks and latest developments in Deep Learning are also discussed.