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Exploring Learning Profiles: Time Series Clustering Guided vs. Free Training

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Maximelel/ML4ED_Time_Series_Clustering

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BD4ED Calcularis M4

Final submission information

Our final submission notebook is the file final_calcularis_BD4ED.ipynb, while our report is found here. The PowerPoint presentation file for our poster is posterML4BD.

How to run the code

Using a virtual environment is recommended. The code was tested with Python 3.8.5. and the packages are found in the requirements.txt file.

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Review Assignment Due Date

M4 can be found in M4submission.

Final report overleaf

Google drive link for full dataset

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