virajbhutada/spotify-track-analysis-and-recommendation

Experience a comprehensive exploration of Spotify's musical landscape seamlessly transitioned from Tableau visualizations to SQL analysis. Dive into track inventory, streaming metrics, and sonic trends via interactive dashboards, while leveraging SQL queries for deeper insights into KPIs and cross-platform rankings.

Language: Jupyter Notebook - Size: 43 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 6 - Forks: 1

eleanormadderra/Spotify_DataScience_Analysis

Created multiple models to analyze a Spotify dataset and predict playlist genre. Dataset download from Kaggle (https://www.kaggle.com/datasets/joebeachcapital/30000-spotify-songs).

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DailyNFT/Spotify-Bot-App Fork of SpotifyBots/Spotify-Bot-Farm

Automate your Spotify activity to get more plays and followers with our free Spotify stream bot!

Size: 2.07 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Ayushmaan-XD/Exploratory-Spotify-Data-Analysis

Exploratory Spotify Data Analysis is a project where I analyzed Spotify’s music dataset to uncover trends in audio features and song popularity. Using Python and data visualization tools

Language: Jupyter Notebook - Size: 3.17 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ArNAB-0053/Song-Identifier

It identifies songs and artists from lyric snippets using two distinct methods - simple NLP based approach and BM25(Best Match 25) approach.

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aidendorian/Spotify-Song-Recommendation

Recommends songs from dataset of 232K songs from Spotify. Uses HDBSCAN and Siamese Network. An ML Project

Language: Python - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

gauthiii/spotifyExtractor

Extract spotify track details from spotify database using this python script

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Nukaze/spotify-recommendations

Implements a content-based recommendation system for Spotify using TF-IDF (Term Frequency-Inverse Document Frequency) and Cosine Similarity. The system analyzes song features to recommend similar tracks based on user preferences.

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a13xe/SpotifySongsTraining

Language: Jupyter Notebook - Size: 17.8 MB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

espositic/playlist_recommender-ICON

Implementazione di un sistema di raccomandazione di playlist musicali basato su K-Means Clustering, e di algoritmi quali Random Forest, K-Nearest Neighbors, Decision Tree e Regressione Logistica per la predizione della popolaritá di una canzone.

Language: Python - Size: 111 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

Educorreia932/FEUP-PRI

🔎 M.EIC 2021/2022 - 1ˢᵗ year / 1ˢᵗ semester

Language: Python - Size: 27.8 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

nick-cheatwood7/spotify-recommend-python

Spotify recommendations using Python 🐍

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