Uploaded January 2022 | Updated September 2026, 1 hour ago
In this video Kaggle Grandmaster Rob goes over a starter tutorial on the brand new PogChamps kaggle competition. This is a community challenge I launched to get the community involved in predictive modeling and coding in python. I go over feature creation, cross validation, and creating a lightGBM model! Hope you enjoy!
Timeline:
00:00 Introduction
00:36 Competition Page
01:17 Loading the Starter Notebook
03:28 Training Dataset Description
05:58 Test Dataset
06:29 Distribution of Target Variable
07:26 Defining Cross Validation Scheme
10:23 Feature Engineering
14:51 Test and Out of Fold Dataframe
15:42 Model Training Loop
19:37 Training the Model
21:22 Evaluating out of fold score
22:29 Feature Importance
23:17 Create Submission
25:16 Checking the Leaderboard and Conclusion
Join the competition: kaggle.com/c/kaggle-pog-series-s01e01
Follow me on twitch for live coding streams: twitch.tv/medallionstallion_
Intro to Pandas video: youtube.com/watch?v=_Eb0utIRdkw
Exploritory Data Analysis Video: youtube.com/watch?v=xi0vhXFPegw
Link to kaggle notebook used in the tutorial: kaggle.com/robikscube/pog-on-youtube-lgbm.
* Youtube: youtube.com/channel/UCxladMszXan-jfgzyeIMyvw
* Twitch: twitch.tv/medallionstallion_
* Twitter: twitter.com/MedallionData
* Kaggle: kaggle.com/robikscube
#Kaggle #DataScience #MachineLearning
In this video Kaggle Grandmaster Rob goes over a starter tutorial on the brand new PogChamps kaggle competition. This is a community challenge I launched to get the community involved in predictive modeling and coding in python. I go over feature creation, cross validation, and creating a lightGBM model! Hope you enjoy!
Timeline:
00:00 Introduction
00:36 Competition Page
01:17 Loading the Starter Notebook
03:28 Training Dataset Description
05:58 Test Dataset
06:29 Distribution of Target Variable
07:26 Defining Cross Validation Scheme
10:23 Feature Engineering
14:51 Test and Out of Fold Dataframe
15:42 Model Training Loop
19:37 Training the Model
21:22 Evaluating out of fold score
22:29 Feature Importance
23:17 Create Submission
25:16 Checking the Leaderboard and Conclusion
Join the competition: kaggle.com/c/kaggle-pog-series-s01e01
Follow me on twitch for live coding streams: twitch.tv/medallionstallion_
Intro to Pandas video: youtube.com/watch?v=_Eb0utIRdkw
Exploritory Data Analysis Video: youtube.com/watch?v=xi0vhXFPegw
Link to kaggle notebook used in the tutorial: kaggle.com/robikscube/pog-on-youtube-lgbm.
* Youtube: youtube.com/channel/UCxladMszXan-jfgzyeIMyvw
* Twitch: twitch.tv/medallionstallion_
* Twitter: twitter.com/MedallionData
* Kaggle: kaggle.com/robikscube
#Kaggle #DataScience #MachineLearning
