This repository contains code used in the technical tutorial blog - A Comprehensive Tutorial to Learn Data Science with Julia from Scratch .
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.
This project is licensed under GPL-V3.