Data Science Tutorials

Learn how to pair Claude Code Auto Mode with Telegram Channels to run an autonomous write-test-debug loop from your phone.

Learn how to fine-tune Qwen3.6 on an H100 NVL GPU using SFT, from dataset preparation and 4-bit loading to training and evaluation.

Learn how to build an automated LLM-as-a-judge system to evaluate your RAG pipelines for faithfulness and relevance at scale and bridge the gap in AI testing.

Learn the capabilities of Anthropic’s best publicly available model, Claude Opus 4.7, and build a data science tool that can turn a chart into raw data.

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.