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Este é o Repositório Colaborativo do PET-BCC, uma iniciativa para promover a colaboração entre alunos. Aqui, você encontrará uma variedade de recursos educacionais, com foco em listas de exercícios…
Text and supporting code for Think Stats, 2nd Edition
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
Building a modern alternative to Salesforce, powered by the community.
An open source, privacy focused alternative to NotebookLM for teams with no data limit's. Join our Discord: https://discord.gg/ejRNvftDp9
An Open Source Python alternative to NotebookLM's podcast feature: Transforming Multimodal Content into Captivating Multilingual Audio Conversations with GenAI
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Anthropic's educational courses
SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.
An introduction to data science in Python, for people with no programming experience.
📚 Freely available programming books
AI-powered Jupyter Notebook. Use AI to generate and edit code cells, automatically fix errors, and chat with your data
📚 Biblioteca de livros essenciais da área da programação. (Confira o meu novo projeto `SendScriptWhatsapp`)
Infinite Bookshelf: Generate entire books in seconds using Groq and Llama3
The Python script for downloading new mp3 from RSS given channels
🎓 Um caminho para a educação autodidata em Ciência da Computação!
📺 Discover the latest machine learning / AI courses on YouTube.
Examples and guides for using the OpenAI API
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Jupyter notebooks criados durante o curso de análise de dados com Python.
Este repositório contém aulas em Python do curso de Probabilidades.
Esse repositório contém notebooks em Python relacionados ao curso de Ciência de Dados.