WORLD CUP ML MODEL

@sujar.tech

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Football-Data APIaxonlearn.app

Axon teaches machine learning from scratch — from weights and gradients to transformers — built for developers who want to actually understand the math.

Why it worked

The video leverages the high interest in the World Cup and the intrigue of using machine learning for predictions. By breaking down specific match-ups and providing confidence percentages, it offers a unique and engaging perspective that appeals to both sports and tech enthusiasts.

Summary

The creator uses a machine learning model, specifically XGBoost, to predict World Cup match outcomes. They detail the data sources, features used, and provide predictions for several Round of 16 matches, including Canada vs. Morocco, France vs. Paraguay, Brazil vs. Norway, and England vs. Mexico. The creator also offers the code for their model on their app, Axon.

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Transcript, structure and on-screen text

6 beats, a 297-word transcript and 138 lines of on-screen text — the parts you need to write your own version.

Original caption

We’ve gotten right all of our round of 32 predictions for the World Cup games so let’s see how the round of 16 turns out, we have Canada vs Morocco, Paraguay vs France, Brazil vs Norway and Mexico vs England I’m really hoping our World Cup machine learning model does well here and gets all the games right as well #coding #machinelearning #worldcup