Data Science Tutorials

Discover how to create custom apps, automate repetitive tasks, and build intelligent agents using natural language in Microsoft 365 Copilot. This tutorial walks through App Builder, Workflows, and Copilot Studio with real examples you can implement today.

Learn how to use n8n Workflow Builder to automate your daily standups. Connect Google Calendar, summarize with AI, and create daily digests.

Learn proven ways to convert Excel to CSV, manually, programmatically, and in bulk, while maintaining data accuracy, encoding, and security.

Understand how Facebook Prophet models trends, seasonality, and special events for accurate and interpretable forecasts.

Understand how uncertainties in measurements affect calculated results and learn formulas and methods to quantify them across various mathematical operations.

Learn how UMAP simplifies high-dimensional data visualization with detailed explanations, practical use cases, and comparisons to other dimensionality reduction methods, including t-SNE and PCA.

Learn how to create this wonderfully compact and elegant cell-sized visualization in Excel that is perfect for summary trend and data visualization.

This guide explains the mathematical intuition behind the tanh function, how it compares to sigmoid and ReLU, its advantages and trade-offs, and how to implement it effectively in deep learning.

Explore DeepSeek-OCR, a vision-language model for document understanding. See 7 real-world OCR tests on charts, math, memes, and handwritten notes.

Learn how to perform algebra, calculus, equation solving, and even code generation using exact symbolic computation instead of numerical approximations.

This guide explores regression testing concepts, strategies, and tools to help you maintain software reliability and prevent new bugs after every update.

This guide explains the mathematical properties of Softplus, its advantages and trade-offs, implementation in PyTorch, and when to switch from ReLU.