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thesis/code
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nuluh adde35ed7e feat(notebook): Normalize the data by calculating the relative value between two sensors. Along with it, MinMaxScaler and StandardScaler are applied and visualize with Seaborn's Pair Plot.
Closes #15
2024-09-01 14:50:04 +07:00
..
notebooks
feat(notebook): Normalize the data by calculating the relative value between two sensors. Along with it, MinMaxScaler and StandardScaler are applied and visualize with Seaborn's Pair Plot.
2024-09-01 14:50:04 +07:00
src/features
docs(script): Update time-domain feature extraction to skip header row separator char info
2024-08-20 12:52:48 +07:00
start.sh
feat(test): Add script for processing raw data, building features, and training model
2024-08-12 23:04:18 +07:00
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