An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
- machine-learning
- predictive-modeling
- islr
- statistical-learning
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An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Papers on Computational Advertising
This repository contains a detailed sample app that implements MVP architecture using Dagger2, GreenDao, RxJava2, FastAndroidNetworking and PlaceholderView
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
Beyond the basics of Node.js testing. Including a super-comprehensive best practices list and an example app (April 2025)
All the deals for InfoSec related software/tools this Black Friday
A step-by-step introduction to making games and interactive media with the Pixi.js rendering engine.
Write a simple interpreter of C. Inspired by c4 and largely based on it.
TranslatedRecord CS knowlegement with XMind, version 2.0. Use XMind to record some designs of the Linux operating system, networking, C++, Golang, and databases
Repositório listando 4noobs de todas as categorias e funcionalidades possíveis.
✏️ Learn how to write a hash table in C
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
TranslatedA knowledge base for red teaming and offensive security.
:cyclone: Clean Architecture with .NET6, C#10 and React+Redux. Use cases as central organizing structure, completely testable, decoupled from frameworks
In-depth understanding of Node.js: Core Ideas and Source Code Analysis
TranslatedChinese version of the iOS resource compilation, including: frameworks, components, testing, Apple Store, SDKs, XCode, websites, books, and more
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
A Python module for learning all major algorithms
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
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A curated list of awesome Bioinformatics libraries and software.
A curated resource list for learning AI performance engineering, from GPU fundamentals to production inference.
☕ A practical event-driven microservices demo built with Golang. Nomad, Consul Connect, Vault, and Terraform for deployment