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

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01_data_exploration.ipynb

initial commit generate directory tree

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02_fft_implementation.ipynb

initial commit generate directory tree

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03_feature_extraction.ipynb

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.

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04_svm_modeling.ipynb

initial commit generate directory tree

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05_results_analysis.ipynb

initial commit generate directory tree

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