We have extended our Early Bird Tickets for Inspire 2023! Discounted pricing goes until February 24th. Save your spot!

Data Science

Machine learning & data science for beginners and experts alike.

In this session, we will be creating some songs (based on Spotify data) and predicting whether the songs we make could become Christmas hits! We will do this by looking at song data, which includes measures like beats per minute, energy, how danceable they are, etc...



Resources for this post:

  1. Source data from Kaggle

  2. Data prepared for machine learning in Designer Cloud Powered by Trifacta

  3. Predictive model and song predictions created in Alteryx Machine Learning

  4. Book an Alteryx Machine Learning Demo



DROP your songs and measures below, and let me predict them for you! (value ranges are based on sample data set thresholds used for training)

  • Name of song? (Be Creative 😊)
  • Artist?
  • BPM (enter value from 47 to 205)
  • Energy (enter value from 10 to 98)
  • Danceability (enter value from 16 to 95)
  • Loudness (db) (enter value from -23 to 0)
  • Liveness (enter value from 2 to 97)
  • Valence (enter value from 5 to 98)
  • Duration in seconds (enter value from 85 to 464)
  • Acousticness (enter value from 0 to 99)
  • Speechiness (enter value from 2 to 56)
  • What country do you want to launch in first? Or to the whole world?