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MYCIN-AI-Club / MachineLearning-Bootcamp01

Projects submitted by teams on completion of Bootcamp 1 organized by MYCIN-AI.
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Quality Prediction in Mining Process #36

Closed vryan-06 closed 2 years ago

vryan-06 commented 2 years ago

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.

The steps I plan on following are:

  1. Fork this repo.
  2. Create and train models.
  3. Compare the models.
  4. Sync my forked repo
  5. And then finally create a PR.
vryan-06 commented 2 years ago

Kindly assign this issue to me as a part of Hacktoberfest2022 so that I can contribute to your repository. Thank you!

vryan-06 commented 2 years ago

@MYCIN-AI-Club can I work on this?