Quality Prediction in Mining Process -> (Creating different models which will predict purity of iron ore and then comparing these models)

[vryan-06]

Description of the project, you want to add.

My aim here is to build a model using various approaches that will be able to predict an ore's purity and impurity using the different column values as input. The dataset used in this project is taken from the Kaggle website. Dataset Link:- https://www.kaggle.com/datasets/edumagalhaes/quality-prediction-in-a-mining-process In this dataset there is a table which contains 24 columns and around 735000 rows. Some of the columns are:% Iron Feed, % Silica Feed, Starch Flow, Ore Pulp Flow, Floatation columns and so on.

Mention if this feature is for any specific Working Environment (e.g. operating system, browser, device, N/A)

N/A

Please add some pictorial references to the prooject, if applicable (Drag & Drop your ss below)

No response

What will be your aprroach to add this project?

Fork this repo. Create and train models. Compare the models. And then finally create a PR.

Any other context you have, to add here regarding this project.

No response

[vryan-06]

Kindly allow me to contribute to your repository as a part of Hacktoberfest2022 by solving this. Thank you!

[Anubhavdevv]

sure @vryan-06 go-ahead 🙌

[vryan-06]

Thank you so much!!