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.