WORLD CUP ML MODEL (Finals edition)

@sujar.tech

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2 videos

Why it worked

The video leverages the high interest in the World Cup by applying machine learning to predict outcomes, making complex data science accessible and engaging through a popular event. The creator also effectively integrates a call to action for their own app, "Axon - Learn Machine Learning," by demonstrating its utility in a relevant context.

Summary

The creator uses a machine learning model trained on football data to predict the World Cup final between Spain and Argentina. The model, an XGBoost model, predicts Spain to win with 51% confidence and an expected score of 2-1.

Structure

1Introduce World Cup ML model
2Show past predictions
3Explain model training data and type
4

Original caption

We made it to the World Cup prediction, it’s been a ton of fun using machine learning to predict the winners of World Cup games,but it’s coming to an end. So now we have the final game of Argentina vs Spain, I don’t want the models to end here so let me know what sport or tournament you want to see next!!! #coding #computerscience #machinelearning #worldcup

More from @sujar.tech

Product placement

Statbomb: it ACTS - it is a data source used to train a machine learning model. Removing it would change what happens in the video. Football Data API: it ACTS - it is a data source used to train a machine learning model. Removing it would change what happens in the video. Axon - Learn Machine Learning: it ACTS - it is an app that the creator uses to learn machine learning, and is presented as a way for viewers to access the creator's models. Removing it would change what happens in the video. axonlearn.app: it ACTS - it is the website for the Axon app, presented as a way for viewers to access the app. Removing it would change what happens in the video.

Call to action

Download Axon - Learn Machine Learning on the App Store and if you're on Android or desktop go to axonlearn.app

On-screen text

WORLD CUP ML MODEL (Finals edition) predict World Cup machine the model will win expected score against England also able to predict all for the quarter but unfortunately for the France we got the Mbappe special got cooked so let's predict Cup final game between Spain and to actually train my model all for free statbomb and I'm filling with the Data API model I use make the is called which is bunch of decision trees which work help predict or a loss xgboost model it on 20 from different to try to data as if you want to my machine learning Axon on and if you're or desktop axonlearn.app World Cup I'm planning prediction models sports know what after compiling all the data is really just giving a 51% confidence for Spain winning the game expected 2-1

Transcript

Let's predict the winners of the World Cup finals using machine learning. The model was able to predict the exact two-one score for Argentina against England, and it was also able to predict all the winners for the quarter-final games. But unfortunately, for the France vs Spain game, we got the Mbappe special, got cooked. So let's predict the World Cup final game between Spain and Argentina. And to actually train my model, I'm training it all for free off these Statbomb data sources and I'm filling in any gaps with the Football Data API. The type of model I use to actually make the predictions is called an XGBoost model, which is basically a bunch of decision trees, which work together to help predict a win or a loss. For the XGBoost model, I trained it on 20 distinct features from different tournaments to try to get as much data as possible. If you want to get access to my World Cup machine learning model, download Axon on the App Store, and if you're on Android or desktop, go to axonlearn.app. And since the World Cup is ending, I'm planning on doing more prediction models for other sports. So let me know what you want to see next!!! After compiling all the data, the model is really just giving a 51% confidence for Spain winning the game with an expected score of two to one.