Data Science Tutorials

Create stunning boxplots in Python! This comprehensive beginner’s tutorial covers Matplotlib and Seaborn, helping you visualize and compare data distributions.

Learn how to calculate and apply Manhattan Distance with coding examples in Python and R, and explore its use in machine learning and pathfinding.

Learn how to rank data in Excel with RANK(), RANK.EQ(), and RANK.AVG() functions. Understand their differences, applications, and tips for accurate data analysis.

To remove duplicates from a Python list while preserving order, create a dictionary from the list and then extract its keys as a new list: list(dict.fromkeys(my_list)).

Learn how to convert technical models into interactive user interfaces with Gradio in Python.

Read our step-by-step instructions for how to upgrade Pip and Python on Windows, macOS, and Linux. Keep your environment up-to-date and compatible.

Learn the differences between RAG and Fine-Tuning techniques for customizing model performance and reducing hallucinations in LLMs.

This comprehensive, hands-on tutorial teaches you how to simplify deep learning model development with PyTorch Lightning. Perfect for beginners and experienced developers alike, it covers environment setup, model training, and practical examples.

Learn the fundamentals of data version control in DVC and how to use it for large datasets alongside Git to manage data science and machine learning projects.

Read our step-by-step beginner's guide to using Terraform, and learn how to efficiently automate and manage your Azure, AWS, and Google Cloud infrastructure.

Discover how Google BigQuery provides scalable, flexible, and cost-effective data warehousing and analytics solutions that seamlessly integrate with other GCP services.

Qwen is a family of large language and multimodal models developed by Alibaba Cloud, designed for various tasks like text generation, image understanding, and conversation.