Data Science Tutorials

Learn how to effectively expose and publish ports in Docker to enable communication between your containers and the outside world. This guide covers everything from Dockerfile configuration and runtime flags to Docker Compose orchestration and troubleshooting techniques.

Learn about Perplexity Labs, its features for creating reports, dashboards, and web applications, and how to use it through practical examples.

This guide walks data practitioners through using Amazon QuickSight to create interactive dashboards, optimize performance, and leverage built-in machine learning.

This comprehensive guide demystifies AWS RDS, walking you through setup, performance tuning, and cost management.

Learn how to fine-tune the top open-source reasoning model, on a medical multiple choice questions (MCQs) dataset using a consumer GPU.

Learn how Excel's wildcard characters enhance flexibility in search, replace, and formula logic. Discover practical examples using *, ?, and ~ in filtering, VLOOKUP(), and more.

Learn what Google's Gemini Diffusion is and how it works through eight practical examples in text generation, game development, simulations, and more.

A step-by-step guide to setting up the environment, processing the MRI dataset, fine-tuning the model, and evaluating its performance.

Explore what underfitting is, how to diagnose an underfitting model, and discover actionable strategies on how to fix underfitting, ensuring your models accurately capture data patterns and deliver reliable predictions.

This tutorial walks you through setting up, running, and optimizing CI/CD workflows using Azure Pipelines.

This guide demystifies the Snowflake QUALIFY clause, showing you how to simplify SQL queries by filtering window functions without subqueries—perfect for cleaner, faster analytics.

Learn how to read, write, and style Excel files using openpyxl. Discover practical examples for working with modern Excel formats (.xlsx) and advanced features.