# itsmuriuki/FIFA-2018-World-cup-predictions

<https://repo.masters-masters.com/en/repos/itsmuriuki/FIFA-2018-World-cup-predictions>

[Home](https://repo.masters-masters.com/en) › [itsmuriuki](https://repo.masters-masters.com/en/owners/itsmuriuki) › [FIFA-2018-World-cup-predictions](https://repo.masters-masters.com/en/repos/itsmuriuki/FIFA-2018-World-cup-predictions)

itsmuriuki/FIFA-2018-World-cup-predictions has 171 stars on GitHub. Its RepoMasters card: Prototype tier. I used Machine Learning to make a Logistic…

| Field | Value |
| --- | --- |
| Owner | [itsmuriuki](https://repo.masters-masters.com/en/owners/itsmuriuki) |
| Stars | 171 |
| Forks | 129 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [itsmuriuki/FIFA-2018-World-cup-predictions](https://github.com/itsmuriuki/FIFA-2018-World-cup-predictions) |

## Repository

I used Machine Learning to make a Logistic Regression model using scikit-learn, pandas, numpy, seaborn and matplotlib to predict the results of FIFA 2018 World Cup.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.