Vak: Predictive Modelling and Machine Learning credits: 4
- Vakcode
- ITVB18DSC3
- Naam
- Predictive Modelling and Machine Learning
- Studiejaar
- 2019-2020
- ECTS credits
- 4
- Taal
- Engels
- Coördinator
- T.B. Dijkhuis
- Werkvormen
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- Hoorcollege
- Opdracht
- Toetsen
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- Predictive Modelling & Machine Learning - Overige toetsing
Leeruitkomsten
The student is able to apply data preparation techniques to a set of data using Python
The student can visualize data in a meaningful way
The student can identify important features in a dataset
The student is able to model appropriate machine learning algorithms for different datasets using standard libraries in Python
The student can evaluate a machine learning model using appropriate evaluation metrics
The student can visualize data in a meaningful way
The student can identify important features in a dataset
The student is able to model appropriate machine learning algorithms for different datasets using standard libraries in Python
The student can evaluate a machine learning model using appropriate evaluation metrics
Inhoud
In this course the student will gain theoretical knowledge on predictive modelling and machine learning, and practical skills on doing predictive modelling in Python using Jupyter notebooks. The student will learn to do data preparation and visualization, data modelling using machine learning techniques and model evaluation.
Opgenomen in opleiding(en)
School(s)
- Instituut voor Communicatie, Media & IT