Data Science Tutorials

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

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.

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.

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

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.

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

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

In this tutorial, you will be introduced to filtering rows in SQL using the WHERE clause.

Learn what Dify is and how to build an AI travel agent using its low-code drag-and-drop interface.

Learn what Google Jules is and how to use it to automate real-world development tasks for your GitHub repository.