Data Science Tutorials

Uncover actionable insights hidden in complex signal data by filtering noise, choosing appropriate visualizations, finding patterns in the time- and frequency-domain, and more using signal processing.

Discover the main differences between Python’s pandas and polars libraries for data science

Discover what Git Rebase is and how to use it in your data science workflows.

Learn how to use ChatGPT in a real-life end-to-end data science project. We will use it for project planning, data analysis, data preprocessing, model selection, hyperparameter tuning, developing a web app, and deploying it on the Spaces.

In this Docker tutorial, discover the setup, common Docker commands, dockerizing machine learning applications, and industry-wide best practices.

A complete overview to understanding multiple linear regressions in R through examples.

Discover the basics of bash scripting and learn how to write a bash script.

A comprehensive introductory tutorial that will help you master the fundamentals of Julia. Learn about operators, conditional statements, working with DataFrames, and more.

Learn how to use the Power BI CALCULATE function while giving examples of how you can use it.

Discover the basics of multiprocessing in Python and the benefits it can bring to your workflows.

Learn what an executable file is and why it may be useful while looking at how to convert a Python script to an executable using auto-py-to-exe.

Learn about the essential Python tools for software development, web scraping and development, data analysis and visualization, and machine learning.