This Python tool working in Jupyter Notebook allows you to prepare a custom dataset for your learning purposes. This should be very useful when learning Machine Learning (ML) and Data Science algorithms.

This cool Python application is perfect to create your own dataset if you are get bored with some toys dataset such as Iris or Titanic. You can create your datasets for testing Machine Learning models not in minutes, but in seconds.

In this video I am demonstrating how to quickly generate dataset with a shape of scatter plot, line graph and histogram. To make it more fun, some datasets I will save to CSV files while other one (for line graph) to JSON file. Just draw lines, curves and bins by mouse and data will be generated automatically based on your graph.

This approach allows you to test Machine Learning algorithms and models with very different datasets and its combinations.

If you want to take a deeper look into this cool Python package, check the references below:
Drawdata Pip installation: https://pypi.org/project/drawdata/
Official drawdata package Github repository: https://github.com/koaning/drawdata

The content of the video:
0:00 - Quick intro into drawdata package
0:45 - Run drawdata package in Jupyter Notebook
7:15 - Announcement about the next video for MLOps

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#python #jupyter