nuluh eb62c7e614 feat(notebook): Update variable names for clarity, remove unused imports, and streamline data processing. Implement data concatenation using pandas concat for efficiency. Add validation steps for Dataset B and improve model training consistency across sensors.

2025-04-24 10:21:07 +07:00

..

notebooks

feat(notebook): Update variable names for clarity, remove unused imports, and streamline data processing. Implement data concatenation using pandas concat for efficiency. Add validation steps for Dataset B and improve model training consistency across sensors.

2025-04-24 10:21:07 +07:00

src

feat(src): implement working function for dataset B to create ready data from STFT files stft_files and add setup.py for package configuration

2025-04-24 09:32:22 +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