The Data Science Pipeline

How a Data Science pipeline looks like in general? Data Science is so much more than Machine Learning. You gotta watch it!

► Feel free to send me questions over LinkedIn or YouTube comment sections!

► My Linktree profile: https://linktr.ee/felipepenha

► Website with supporting material: https://felipepenha.github.io/data-science-bits/

🎥 Feature Engineering Playlist [upcoming]

► https://youtube.com/playlist?list=PLAyz_McAak4lja399Ypb0VtTPHjWxFEP1

🎥 Previous videos about Missing Data:

►Treat the Missing Data Well: https://youtu.be/7nbhvkxtYhw
► The Origins of Missing Data: https://youtu.be/rFbQCqiY8m4
►3 Mistakes Data Scientists Make Leading to Missing Data: https://youtu.be/HjeFLuGfD6Q

⏱️ Index ⏱️
0:00 - Intro
0:35 - Scope
1:45 - Data Sourcing
2:22 - Data Splitting
2:48 - Pre-processing
3:32 - Feature Engineering
5:11 - Labeling [optional]
6:43 - Exploratory Data Analysis (EDA)
7:35 - Model Development
8:12 - Performance Monitoring
9:03 - Interpretation
9:26 - Iteration
9:41 - Deploy
10:29 - Feedback Loop
11:14 - Conclusion

✒️ Image Credits

[1] Thumbnail picture:
Photo by Possessed Photography on Unsplash
https://unsplash.com/photos/6Es5BF1_sZ0

Видео The Data Science Pipeline канала Data Science Bits