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An introduction to the fundamentals of machine learning, using clustering (data partitioning) and classification algorithms.
The main topics covered in this module are: the Scikit-learn library, clustering and classification methods.
To learn how to use regression and time series analysis methods, and then apply them in a business context.
The main topics covered in this module are: regression, time series and data modelling.
Experience with time series methods to solve a business problem using machine learning.
The main topics covered in this module are: data modelling and time series analysis using Scikit-learn.

