7 Tricks to Make a Data Science Project Maintainable @ValerioVelardoTheSoundofAI
7 Tricks to Make a Data Science Project Maintainable  @ValerioVelardoTheSoundofAI
Uploaded May 2022 | Updated September 2026, 2 weeks ago
There's a big problem in data science: project maintainability. Most data science projects are scrappy.

In this video, I share 7 simple strategies you can follow to improve your data science projects and minimise technical debt.

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Content:

0:00 Intro
0:42 IDE vs Jupyter Notebooks
2:43 Produce Claen Code
3:35 Lint your code
3:57 Test, test, test!
6:41 Track experiments
8:06 Version data
9:13 Use a pipeline
11:01 Takeaways
7 Tricks to Make a Data Science Project Maintainable7 Great AI Music Projects for your Portfolio16- How to Implement a CNN for Music Genre ClassificationUnderstanding Audio Signals for Machine LearningThis AI Recognises Moods in Songs and Explains How it Does itRecording Sound with Python18- Long Short Term Memory (LSTM) Networks Explained EasilyMusicLM Generates Music From Text [Paper Breakdown]Using Python + Text-To-Speech to Keep Up-to-Date with ResearchI released an album of piano music...Generating Sound Digits with a Variational AutoEncoderDriving the Voice AI Revolution || SoundHound
Valerio Velardo - The Sound of AI |

7 Tricks to Make a Data Science Project Maintainable

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