Uploaded March 2021 | Updated September 2026, 2 weeks ago
Will my machine learning model dominate all other March Madness Brackets, or will my friend Bobby win all of my most important belongings? Find out in this new video!
Model comparison tool: share.streamlit.io/playingnumbers/march_madness_predictions
Simulation Tool: share.streamlit.io/playingnumbers/basketball_sim_dash/main
Kaggle Notebook: kaggle.com/kenjee/simple-simulation-elo-rating-approach
Elo Rating Website: warrennolan.com/basketball/2021/elochess
Follow my Bracket: picks.cbssports.com/college-basketball/ncaa-tournament/bracket/pools/kbxw63b2gu4dombrhezq====?entryId=ivxhi4tzhi4dqnjsgm3dkna=
I haven't done any sports analytics content in a while, so I thought it would be fun to make this video about how I used machine learning to fill out my NCAA Basketball tournament bracket.
I walk you through the 5 different models that I use. 2 machine learning based, 1 simulation based, 1 Elo rating based, and 1 based purely off of seed. I also made some pretty cool tools that can help you see how everything works under the hood.
Hopefully next year I will finish my analysis before the tournament actually starts so you can use the tools that I build.
#DataScience #KenJee #SportsAnalytics #MachineLearning #MarchMadness
0:00 The Challenge
0:38 Intro
1:03 What is March Madness?
2:00 The First Day
2:36 Monte Carlo Sim
3:34 Model 1 Results
4:22 Reset
4:55 Hack Day 2
5:20 The 5 Models
6:00 Random forest and Neural Net
6:45 ELO Rating
7:35 Seed Differential
7:45 Aggregate model
8:15 My Bracket
⭕ 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 ( 47% 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
Will my machine learning model dominate all other March Madness Brackets, or will my friend Bobby win all of my most important belongings? Find out in this new video!
Model comparison tool: share.streamlit.io/playingnumbers/march_madness_predictions
Simulation Tool: share.streamlit.io/playingnumbers/basketball_sim_dash/main
Kaggle Notebook: kaggle.com/kenjee/simple-simulation-elo-rating-approach
Elo Rating Website: warrennolan.com/basketball/2021/elochess
Follow my Bracket: picks.cbssports.com/college-basketball/ncaa-tournament/bracket/pools/kbxw63b2gu4dombrhezq====?entryId=ivxhi4tzhi4dqnjsgm3dkna=
I haven't done any sports analytics content in a while, so I thought it would be fun to make this video about how I used machine learning to fill out my NCAA Basketball tournament bracket.
I walk you through the 5 different models that I use. 2 machine learning based, 1 simulation based, 1 Elo rating based, and 1 based purely off of seed. I also made some pretty cool tools that can help you see how everything works under the hood.
Hopefully next year I will finish my analysis before the tournament actually starts so you can use the tools that I build.
#DataScience #KenJee #SportsAnalytics #MachineLearning #MarchMadness
0:00 The Challenge
0:38 Intro
1:03 What is March Madness?
2:00 The First Day
2:36 Monte Carlo Sim
3:34 Model 1 Results
4:22 Reset
4:55 Hack Day 2
5:20 The 5 Models
6:00 Random forest and Neural Net
6:45 ELO Rating
7:35 Seed Differential
7:45 Aggregate model
8:15 My Bracket
⭕ 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 ( 47% 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
