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It seems like you have a project that involves modeling industrial copper data using Python and several libraries such as pandas, numpy, and scikit-learn. This is a common and practical approach, as these libraries are widely used for data manipulation, analysis, and machine learning tasks.

Home Page: https://www.linkedin.com/in/dinesh-dhamodharan-2bbb9722b/

Python 1.41% Jupyter Notebook 98.59%
bussiness-solution numpy pandas pickle pickle-file seaborn sklearn-library streamlit

industrial-copper-modeling's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m @DineshDhamodharan24
  • ๐Ÿ‘€ Iโ€™m interested in Python Developer, Data Analysis and Data Science
  • ๐ŸŒฑ Iโ€™m currently learning Data Science
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on a specific project or have certain interests in mind, it's a good idea to mention those interests.
  • ๐Ÿ“ซ How to reach me https://www.linkedin.com/in/dinesh-dhamodharan-2bbb9722b/

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