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Data Science with Julia

This repository contains code used in the technical tutorial blog - A Comprehensive Tutorial to Learn Data Science with Julia from Scratch .

Project Structure

Please use this code in collaboration with the blog in order to get the correct context.

  • Julia Fundamentals.ipynb - Fundamental Julia programs
  • DataFrames.ipynb - Loading Datasets into DataFrame and simple EDA
  • Build a Predictve ML Model - Building and Experimenting with different models
  • Visualizations.ipynb - Visualizations drawn as part of EDA using plotly and pyplot.

License

This project is licensed under GPL-V3.