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This repository was created for academic purposes and the project is in active development. The goal of this project is to design a model for predicting song popularity.

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M4TTRX/SpotifySongPopularity

 
 

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SpotifySongPopularity

This repository was created for academic purposes and the project is in active development. The goal of this project is to design a model for predicting song popularity.

Final Report

The final report of the project can be read here.

Running instruction

Installing Dependencies:

Using pip

If using pip run pip install requirements.txt -r

To install all dependencies

Using conda

If using conda for dependencies, run the following command to create your environment with the required dependencies:

conda env create -f environment.yml

If you install new dependencies, run the following command to update environment.yml:

conda env export > environment.yml

Running the jupyter notebook again

To run the code, you can re-run the jupyter notebook called main.ipynb, in teh src folder.

Test results and performance of the model

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This repository was created for academic purposes and the project is in active development. The goal of this project is to design a model for predicting song popularity.

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  • Jupyter Notebook 99.4%
  • Python 0.6%