Uploaded August 2020 | Updated September 2026, 1 week ago
In this video I talk about my experience having my work plagiarized and about the broader plagiarism problem in data science. I hope to help cut through the ambiguity associated with plagiarism in data science by clearly defining it, talking about how you can avoid it in your data science projects, and about some of the negative consequences associated with it.
This is a cautionary tale. Plagiarism can have disastrous consequences, like for my fellow youtuber Siraj Raval. I hope that we can learn from others mistakes and avoid this type of behavior in the future.
#DataScience #KenJee
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🎙 Listen to My Podcast: youtube.com/c/KensNearestNeighborsPodcast
🕸 Check out My Website - kennethjee.com
✍️Sign up for My Newsletter - kennethjee.com/newsletter
📚 Books and Products I use - amazon.com/shop/kenjee (affiliate link)
Partners & Affiliates
🌟 365 Data Science - Courses ( 57% Annual Discount): 365datascience.pxf.io/P0jbBY
🌟 Interview Query - interviewquery.com/?ref=kenjee
MORE DATA SCIENCE CONTENT HERE:
🐤My Twitter - twitter.com/KenJee_DS
👔 LinkedIn - linkedin.com/in/kenjee
📈 Kaggle - kaggle.com/kenjee
📑 Medium Articles - medium.com/@kenneth.b.jee
💻 Github - github.com/PlayingNumbers
🏀 My Sports Blog -playingnumbers.com
Check These Videos Out Next!
My Leaderboard Project: youtube.com/watch?v=myhoWUrSP7o&ab_channel=KenJee
66 Days of Data: youtube.com/watch?v=qV_AlRwhI3I&ab_channel=KenJee
How I Would Learn Data Science in 2021: youtube.com/watch?v=41Clrh6nv1s&ab_channel=KenJee
My Playlists
Data Science Beginners: youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs
Project From Scratch: youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&ab_channel=KenJee
Kaggle Projects: youtube.com/playlist?list=PL2zq7klxX5AQXzNSLtc_LEKFPh2mAvHIO
In this video I talk about my experience having my work plagiarized and about the broader plagiarism problem in data science. I hope to help cut through the ambiguity associated with plagiarism in data science by clearly defining it, talking about how you can avoid it in your data science projects, and about some of the negative consequences associated with it.
This is a cautionary tale. Plagiarism can have disastrous consequences, like for my fellow youtuber Siraj Raval. I hope that we can learn from others mistakes and avoid this type of behavior in the future.
#DataScience #KenJee
⭕ Subscribe: youtube.com/c/kenjee1?sub_confirmation=1
🎙 Listen to My Podcast: youtube.com/c/KensNearestNeighborsPodcast
🕸 Check out My Website - kennethjee.com
✍️Sign up for My Newsletter - kennethjee.com/newsletter
📚 Books and Products I use - amazon.com/shop/kenjee (affiliate link)
Partners & Affiliates
🌟 365 Data Science - Courses ( 57% Annual Discount): 365datascience.pxf.io/P0jbBY
🌟 Interview Query - interviewquery.com/?ref=kenjee
MORE DATA SCIENCE CONTENT HERE:
🐤My Twitter - twitter.com/KenJee_DS
👔 LinkedIn - linkedin.com/in/kenjee
📈 Kaggle - kaggle.com/kenjee
📑 Medium Articles - medium.com/@kenneth.b.jee
💻 Github - github.com/PlayingNumbers
🏀 My Sports Blog -playingnumbers.com
Check These Videos Out Next!
My Leaderboard Project: youtube.com/watch?v=myhoWUrSP7o&ab_channel=KenJee
66 Days of Data: youtube.com/watch?v=qV_AlRwhI3I&ab_channel=KenJee
How I Would Learn Data Science in 2021: youtube.com/watch?v=41Clrh6nv1s&ab_channel=KenJee
My Playlists
Data Science Beginners: youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs
Project From Scratch: youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&ab_channel=KenJee
Kaggle Projects: youtube.com/playlist?list=PL2zq7klxX5AQXzNSLtc_LEKFPh2mAvHIO
