# RichardScottOZ/mineral-exploration-machine-learning

<https://repo.masters-masters.com/en/repos/RichardScottOZ/mineral-exploration-machine-learning>

[Home](https://repo.masters-masters.com/en) › [RichardScottOZ](https://repo.masters-masters.com/en/owners/RichardScottOZ) › [mineral-exploration-machine-learning](https://repo.masters-masters.com/en/repos/RichardScottOZ/mineral-exploration-machine-learning)

RichardScottOZ/mineral-exploration-machine-learning has 352 stars on GitHub. Its RepoMasters card: Alpha tier. List of resources for mineral exploration and…

| Field | Value |
| --- | --- |
| Owner | [RichardScottOZ](https://repo.masters-masters.com/en/owners/RichardScottOZ) |
| Stars | 352 |
| Forks | 62 |
| Language | No language |
| License | None |
| Created | 2022 |
| Topics | artificial-intelligence, data-science, deep-learning, machine-learning, mineral-exploration, minerals, copper, geochemistry, geology, geophysics |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [RichardScottOZ/mineral-exploration-machine-learning](https://github.com/RichardScottOZ/mineral-exploration-machine-learning) |

## Repository

List of resources for mineral exploration and machine learning, generally with useful code and examples.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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