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causal-inference's Introduction

Hi ๐Ÿ‘‹

An experianced DataOps Engineer

  • ๐Ÿ”ญ Iโ€™m currently working on a data-warehouseing project for Moodle-HQ
  • ๐ŸŒฑ Iโ€™m learning ML engineering, MLOps, Data Engineering, and a little bit of WEB 3.
  • ๐Ÿ“ซ I love playing video games, listening to podcasts and coding
  • โšก Check out my Blogs

๐Ÿ“ฃ You can reach me at

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causal-inference's Issues

Make a condition based CML report

The report should have sections.

  • one that reads images from a folder
    • This should first check if a file with that name exists
    • Then create a title for the image in the md file
    • publish the image under the title.
  • another that shows metrics from a text file.
    • just dump the contents of a reports.txt file that you generate from your notebook in to the md file

You will need to learn some bash scripting, like conditionals and loops that you will use for the image reports.

Split and track the data with DVC

Maybe I don't need to split it yet. I can just use portions of the data to check for the graphs stability by gradually increasing the sample size I use.

Perform EDA on the data

  • data size
  • columns, their data types
  • handling missing entries
  • uni-variate analysis and plots
  • bi-variate analysis and plots
  • correlation to the target

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