Data Science Tutorials

This practical guide walks you through setting up, managing, and optimizing Amazon Aurora, with insights on performance tuning, security, and cost management.

Learn how to use Snowflake Cortex AI for text processing. Explore its key capabilities and showcase some examples of how to use Cortex AI to parse and quickly understand text.

Learn about Cloud Run and its use cases, then follow our step-by-step guide and launch your first instance.

Learn how to use Mistral's OCR API with Python to extract text and images from documents and integrate OCR capabilities into applications.

Learn how the softmax activation function transforms logits into probabilities for multi-class classification. Compare softmax vs sigmoid and implement in Python with TensorFlow and PyTorch.

Learn how to merge branches efficiently in Git with this step-by-step tutorial. Explore different merge strategies, resolve conflicts, and apply best practices to keep your Git history clean.

This guide explains how to delete branches in Git—locally and remotely—while following best practices to avoid accidental data loss.

Learn how to perform linear regression in Python using NumPy, statsmodels, and scikit-learn.

Learn how to use Wan 2.1, Alibaba's open-source video generation model, to create videos from text and images.

Learn how to use the modulo operator (%) in Python to solve real-world problems, from checking even/odd numbers to cryptography, or cyclic data structures.

This tutorial walks you through Azure DevOps, making CI/CD easier than ever.

Learn how to use Excel's essential financial function to determine periodic payments for loans, mortgages, and investments. Discover proper syntax and advanced applications for financial modeling.