Data Science Tutorials

Learn how to use Excel Name Manager to create, edit, and delete named ranges and write cleaner, easier-to-maintain formulas.

GELU is a smooth, probabilistic activation function that outperforms simpler alternatives like ReLU in deep learning architectures, and has become the default choice in transformer models like BERT and GPT.

In this guide, we will rent an H200 GPU and install llama.cpp, download MiniMax M2.7 GGUF, run it locally, test it in the WebUI, and connect it to OpenCode.

Master the Ollama Python SDK for local LLM development. Learn to generate text, handle multi-turn chats, use vision models, and build AI apps securely.

Build a working demo app that calls all three Microsoft MAI models via Azure speech-to-text, text-to-speech, and image generation, and learn what these models can do.

Newton's method is an iterative root-finding algorithm that uses tangent line approximations to close in on the solution of equations that have no closed-form answer.

Discover how to install and run LLMs locally using LM Studio. Keep your data private, chat with documents using built-in RAG, and set up a local API.

The t statistic helps you decide whether a difference in your data is meaningful or just random variation. This guide explains how it works, how to calculate it, and how to use it in real testing scenarios with clear, step-by-step examples.

Learn how to set up Claude Code inside Cursor, understand the difference between Claude Code and Claude models in Cursor, and decide when each workflow makes sense for your project.

A guide covering the essential proactive checks across replication, performance, and backup to keep your data platform robust and reliable.

Master OpenAI's Codex CLI to automate data workflows. Learn to conduct EDA, build Python ETL pipelines, and generate tests directly from your local terminal.

A practical overview of regularization in machine learning - what it is, how it works, and when to use L1, L2, and Elastic Net to build models that generalize.