| Course content |
- Fundamentals of Machine Learning (ML)
- Review of machine learning methods and projects
- Natural Language Processing (NLP)
- ML in real-world applications (python libraries for text classification based on online real estate data)
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| Learning outcomes |
- Understand the basics of Machine Learning
- Gain knowledge on data pre-processing for ML-based classification
- Gain practical knowledge of implementing machine learning algorithms/models
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| Target group |
- Statisticians, methodologists, data analysts
|
| Requirements |
- Sound command of English. Participants should be able to make short interventions and to actively participate in discussions
- Knowledge of programming in Python
- Basic knowledge of statistics
- Participant should have his/her own computer with Internet access
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| Course Schedule |
- 2h - Introduction to ML & NLP Building application for text classification (using Python)
- 1h - Data preprocessing
- 2h - Building classifiers
- 2h - Assessing the model
- 1h - Summary
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| Instructors |
- Dominik Dąbrowski, Statistics Poland
- Bartosz Grancow, Statistics Poland
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| How to register |
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