What could be improved? Machine Learning Project Retrospective | Airbnb Amenity Detection Part 9

At the end of any project, it's essential to look back and ask two questions: What went well? and What could be improved? In this video, I ask these questions looking back on my machine learning project to replicate Airbnb's amenity detection. If you're not sure what's going on, make sure to check out the rest of the videos in the series. Now this project is over, it's time to move onto the next one! Links: My machine learning course - https://dbourke.link/mlcourse Blog post version of the project - https://www.mrdbourke.com/airbnb-amenity-detection Example code on Google Colab - https://dbourke.link/airbnbcode Code on GitHub - https://github.com/mrdbourke/airbnb-amenity-detection/ All of my notes/ideas in Notion - https://dbourke.link/airbnb42days Airbnb Amenity Detection article - https://link.medium.com/05qPErz3a4 Check it out for yourself - https://airbnb-amenity-detection.appspot.com/ (note: may be taken down due to hosting costs) All videos in this series: Full playlist - https://dbourke.link/airbnbplaylist Part 1 (overview) - https://youtu.be/C_lIenSJb3c Part 2 (data exploration) - https://youtu.be/hTHXVfryZDo Part 3 (data manipulation) - https://youtu.be/cijajMJ3m3w Part 4 (building a small dog model) - https://youtu.be/ooB-ZU9iLmI Part 5 (experiment tracking) - https://youtu.be/83s-OEFMgVY Part 6 (modelling experimentation) - https://youtu.be/eiA3EEeGAZc Part 7 (building a big dog model) - https://youtu.be/5X6A1i5wbFU Part 8 (getting my modelling deployed) - https://youtu.be/smlQbh6jQvg Part 9 (project wrap up and retrospective) - https://youtu.be/aBkUE5OJ8u8 Note: I am not affiliated with Airbnb nor are they involved with this series of videos in any way. Connect elsewhere: Email updates on my work - https://dbourke.link/newsletter Web - https://dbourke.link/web Quora - https://dbourke.link/quora Medium - https://dbourke.link/medium Twitter - https://dbourke.link/twitter LinkedIn - https://dbourke.link/linkedin #machinelearning #datascience #deeplea