MattD82 / Predicting-Spotify-Song-Popularity
Repository for Data Science Project
☆31Updated 6 years ago
Alternatives and similar repositories for Predicting-Spotify-Song-Popularity:
Users that are interested in Predicting-Spotify-Song-Popularity are comparing it to the libraries listed below
- Using Spotify’s audio features API, data, and machine learning, I investigated how boring my saved songs are.☆64Updated 7 years ago
- Spotify API to BigQuery serverless pipeline☆101Updated 3 years ago
- A Python interface for the chartmetric.com API☆21Updated 4 years ago
- (project & tutorial) dag pipeline tests + ci/cd setup☆86Updated 4 years ago
- A script to create custom Spotify playlists using the Spotify API, based on seed tracks.☆71Updated 2 years ago
- A collection of resources for experimentation☆63Updated 2 years ago
- ☆25Updated 3 years ago
- Data analysis on my monthly playlists☆24Updated 7 years ago
- Sample projects using Ploomber.☆86Updated last year
- Complementary code for blog posts☆23Updated last month
- Data lake, data warehouse on GCP☆55Updated 3 years ago
- The easiest way to integrate Kedro and Great Expectations☆53Updated 2 years ago
- Using Python to perform data visualization and machine learning on the annual Spotify wrapped top songs playlists☆35Updated 2 years ago
- A guide on creating and deploying your Streamlit application to Heroku☆50Updated 6 months ago
- Library of automation tools for EDA and modeling☆27Updated 4 years ago
- Content shared at DS-OX Meetup☆83Updated 2 years ago
- Trying to predict my mood using my spotify music data☆27Updated 4 years ago
- Interactive notebooks containing demonstration code of the splink library☆37Updated last year
- Example project showing how to host multiple streamlit apps on Heroku behind a nginx proxy with authentication☆81Updated 2 years ago
- An end-to-end project on customer segmentation☆81Updated 2 years ago
- 📈🔍 Lets Python do AB testing analysis☆76Updated 10 months ago
- K-Means Clustering and PCA to categorize music by similar audio features☆70Updated 3 years ago
- The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.☆52Updated 2 years ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆116Updated 9 months ago
- ☆31Updated 8 months ago
- Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.☆129Updated last year
- A Beginner's Guide to DuckDB's Python Client☆42Updated 4 months ago
- Data Science Festival Workshop 7 November 2020 – Building a fashion recommender using Tensorflow/Keras with ASOS.☆25Updated 4 years ago
- SQL upsert using pandas DataFrames for PostgreSQL, SQlite and MySQL with extra features☆229Updated last year
- Quickly ingest messy CSV and XLS files. Export to clean pandas, SQL, parquet☆195Updated last year