priauwindu/predicting-song-preference-in-spotify-using-k-nearest-neighbor-classifier

Building K-Nearest-Neighbor classifier model using Spotify dataset to predict song preference of a given hypothetical person.

Predicting Song Preference in Spotify Using K-Nearest-Neighbor Classifier

GitHub Pages: https://priauwindu.github.io/Predicting-Song-Preference-in-Spotify-Using-K-Nearest-Neighbor-Classifier/

This GitHub repository contains a project focused on building a K-Nearest-Neighbor (KNN) classifier model using the Spotify dataset in R. The goal of this project is to predict the song preferences of a hypothetical person named Putra, classifying them as either "like" or "dislike" based on their characteristics.

Dataset

The dataset used for this project is sourced from Spotify, a popular music streaming platform. It includes a wide range of features such as song duration, tempo, danceability, energy, and more. Each song in the dataset is labeled as either "like" or "dislike" based on Putra's preferences.

Project Structure

The repository is organized as follows:

• The data directory contains the Spotify dataset in CSV format and any other necessary data files.
• The src directory contains the source code for the KNN classifier model (Predicting-Song-Preference-in-Spotify-Using-K-Nearest-Neighbor-Classifier.Rmd).
• The LICENSE file specifies the open-source license for this project.
• The README.md file provides detailed information about the project, including installation instructions, usage guidelines, and an overview of the repository's contents.

Usage

To use this repository, follow these steps:

• Clone the repository to your local machine.
• Install the required dependencies mentioned in the requirements.txt file or the project's README.
• Open the R Markdown file (song_preference_prediction.Rmd) in the root directory.
• The R Markdown file contains the code for data preprocessing, model training, and testing.
• Run the R Markdown file to execute the code step by step.
• Review the results, including the trained model's performance and any predictions made.

Contributions

Contributions to this repository are welcome! If you find any issues or have suggestions for improvements, feel free to submit a pull request or open an issue.

Usage and Citations

If you find this repository useful, you may replicate the code here to assist your projects/works but dont forget to properly cite this repository in your work.

Thank you for your interest in Predicting Song Preference in Spotify Using K-Nearest-Neighbor Classifier

Author: Putranegara Riauwindu