In this project a dataset with music of different styles such us jazz, classic ...
- Project Structure
- Prosess
- How to run
- Deployment (Real world Use)
- To improve
- About Me
- ├── diabetes.csv
- ├── cleaned_data.csv
- ├── scaled_data.csv
- ├── data_documentation.pdf
- ├── 1_data_preprocessing
- ├── 2_Music_Genre_Classification_with_ANN.ipynb
- ├── 3_Music_Genre_Classification_with_CNN.ipynb
- ├── 4_Music_Genre_Classification_with_RNN.ipynb
- ├── helpers.py
- ├── models_config.py
- ├── contains graph and figures
- ├── contains trained models
- ├── contains images used in this images
- step1 : Importing Packages
- step2 : Loading the data
- step3 : Exploratory Data Analysis (EDA)
- step4 : Data Preparation
- step5 : Build and Train the model
- step6 : Model prediction and Evaluation
- step7 : Model Improvement
- Hyperparameter Tuning, Features Selection and Features Ingeneering
- step8 : Model Deployment
N.B : python 3.7 is recommended
- $ git clonehttps://github.com/Rekidiang2/au01_music_genre_classification.git
- $ cd au01_music_genre_classification
- $ python -m venv au01_venv
- $ p01ml_venv\Scripts\activate (<= Activate virtual Environment)
- $ deactivate (<= Deactivate virtual Environment)
- $ pip install -r requirements.txt
- Set VIRTUAL ENVIRONMENT as KERNEL :
- $ python -m ipykernel install --user --name au01_venv --display-name "au01_kernel"
- $ jupyter notebook
- Go to Kernel -> Change kernel -> au01_kernel
- $ python3 -m venv p01ml_venv
- $ source au01_venv/bin/activate (<= Activate virtual Environment)
- $ deactivate (<= Deactivate virtual Environment)
- $ pip install -r requirements.txt
- Set VIRTUAL ENVIRONMENT as KERNEL :
- $ python -m ipykernel install --user --name au01_venv --display-name "au01_kernel"
- $ jupyter notebook
- Go to Kernel -> Change kernel -> au01_kernel
-
Verify if you have conda installed ($conda --version) if not go to anconda or miniconda to download and install it
-
$ conda create -n au01_venv python=3.7
-
$ conda activate au01_venv (<= Activate virtual Environment)
-
$ conda deactivate (<= Deactivate virtual Environment)
-
Set VIRTUAL ENVIRONMENT as KERNEL :
- $ python -m ipykernel install --user --name au01_venv --display-name "au01_kernel"
-
$ jupyter notebook
-
Go to Kernel -> Change kernel -> au01_kernel
- $ jupyter kernelspec list (<= list all ipykernel in your system)
- $ jupyter kernelspec uninstall au01_kernel (<= Delete the ipykernel in your system)
- put link for real world app after deployment in heroku
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