Training and Events
Machine Learning with Python
|Cathie Marsh Institute|
Humanities Bridgeford Street
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Part of Social Data Science Week, a collaboration between the Cathie Marsh Institute and methods@manchester. These courses have been designed for postgraduate researchers, giving you the tools to make use of free and open-source software, and techniques from the cutting-edge new discipline of social data science.
This intermediate course in Machine Learning Algorithms with Python will enable researchers to select the more appropriate machine learning algorithm to help answer their research questions. During the day we will look at a selection of ML algorithms, demonstrate how to use them in Python programs using appropriate Python packages like sklearn. Before using the algorithms, we will consider how well our data meets the assumptions made by the algorithms and we can manipulate the data so as to meet the assumptions.
On completion of this workshop, the participants will be able to:
After completion of this workshop, the participant will be in a position to clean and transform data to make it more useable for a variety of ML Algorithms. Know how to ensure that their data is in an appropriate format for applying a particular ML algorithm. Be aware of and understand any assumptions made by particular ML algorithms and understand how model accuracy is assessed and be familiar with the necessary software tools needed to perform the assessment.
Basic knowledge of the Python programming language.
No knowledge of Machine learning is assumed.
The workshop takes a very practical approach, so no mathematical knowledge is required.
Intermediate (some prior knowledge)
Website and registration
Machine learning, Python
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