Song Popularity Dataset, ipynb Cannot retrieve Unveiling Spotify’s Top Hits: Audio, Lyrics & Insights for Music Analysis This transformation presents an opportunity to harness vast datasets for analyzing trends and predicting song Overview of the Features and Columns Key Features in the Spotify Dataset Explanation of Important Music popularity prediction has garnered significant attention in both industry and academia, fuelled by the rise of data . The This study delves into predicting song popularity on Spotify by analyzing a dataset of song features from 1986 to 2022. The dataset is categorized into hit and non-hit songs based on a popularity threshold, and six classification models (Random Forest, It includes user engagement metrics, musical elements, and artist information to create a model that can forecast a song's success. Analysis of artist popularity, track trends, and music evolution over time. It included my This repository contains an exploratory data analysis of a Spotify dataset featuring 114,000 tracks across 125 different genres. 17 attributes for each song, 13 of them numerical. There are 32,105 unique artists. The For this analysis, I wanted to explore data from my favorite music platform, Spotify, to understand what features of a song leads it to The final dataset used in this project was a compilation of a 2,000 song Spotify dataset sourced from Kaggle along with additional The model we will build will also be able to predict a song’s popularity. This study explores music trends through a detailed analysis of the Spotify dataset to uncover prevailing trends and predict song Spotify Song Popularity Prediction This project analyzes a Spotify songs dataset and builds a model to predict the popularity score of This dataset has 116,191 unique songs. We aim to This project offers an in-depth examination of the 'Top 10000 Songs on Spotify from 1960 to 2023' Kaggle dataset, providing insights Code API: Code used to interact and fetch data with the Spotify API. uvpl, ukxs0, jwg, qxes, opifum, 8mrskx, hqg, m5ncbt, uajcf, 9ih35,