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RSK World
music-classification
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notebooks
RSK World
music-classification
Music Classification Dataset - Genre Classification + Music AI + Audio ML
notebooks
  • __init__.py98 B
  • audio_visualization.ipynb2.3 KB
  • exploratory_analysis.ipynb3.4 KB
requirements.txtbot_logic.pySceneDelegate.swiftstretching_003.mp4__init__.py
requirements.txt
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# Music Classification Dataset - Requirements
# Project: Music Classification Dataset
# Author: Molla Samser
# Company: RSK World
# Designer & Tester: Rima Khatun
# Website: https://rskworld.in
# Email: help@rskworld.in, support@rskworld.in
# Phone: +91 93305 39277

# Audio Processing
librosa==0.10.1
soundfile==0.12.1
audioread==3.0.1

# Scientific Computing
numpy==1.24.3
scipy==1.11.4
pandas==2.0.3

# Machine Learning
scikit-learn==1.3.2
tensorflow==2.15.0
keras==2.15.0

# Visualization
matplotlib==3.7.3
seaborn==0.13.0
plotly==5.18.0

# Data Processing
joblib==1.3.2
pickle5==0.0.11

# Utilities
tqdm==4.66.1
python-dotenv==1.0.0

# Jupyter Notebook (Optional)
jupyter==1.0.0
ipython==8.17.2
notebook==7.0.6

# File Handling
mutagen==1.47.0
pydub==0.25.1

# Progress Bars
alive-progress==3.1.5

# Advanced Features (Optional)
scipy==1.11.4

# Deep Learning (Optional - for neural networks)
# tensorflow==2.15.0
# keras==2.15.0

# Model Evaluation
scikit-learn==1.3.2

# Advanced Visualization
plotly==5.18.0

63 lines•1.1 KB
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notebooks/__init__.py
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# Notebooks package marker
# Author: Molla Samser (RSK World)
# Website: https://rskworld.in

5 lines•98 B
python
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