Data Science Tutorials

Learn how to perform t-tests in Python with this tutorial. Understand the different types of t-tests - one-sample test, two-sample test, paired t-test, and Welch’s test, and when to use them.

This hands-on tutorial dives deep into creating and customizing line plots with Matplotlib, a powerful data visualization library in Python.

Learn how to create highly interactive and visually appealing charts with Python Plotly Express.

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.

Discover how to use Seaborn, a popular Python data visualization library, to create and customize line plots in Python.

Determine if there is a significant difference between the means of the two groups using t.test() in R.

Learn about IF and CASE statements in Tableau and explore how to use these logical functions to conditionally transform and visualize data.

Get started with GeoPandas, one of the most popular Python libraries for geospatial analysis.

Experience a simple, fun, and productive way of Python development by learning about VSCode and its extensionsn and features.

Explore our step-by-step guide to running external commands using Python's subprocess module, complete with examples.

Explore various techniques to efficiently handle missing values and their implementations in Python.

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