moreirab
Back-end developer and a lifelong learner that is always studying something. Fail is knowledge. So, fail fast. Recover. And try again.
@stack-spotSão Paulo, Brasil
Pinned Repositories
ai-collection
The Generative AI Landscape - A Collection of Awesome Generative AI Applications
angular-graphcool-chat
customer-segments
Machine Learning Engineer Nanodegree, Unsupervised Learning, Creating Customer Segments
spam-classifier
Spam classifier using Naive Bayes algorithm.
moreirab's Repositories
moreirab/spam-classifier
Spam classifier using Naive Bayes algorithm.
moreirab/customer-segments
Machine Learning Engineer Nanodegree, Unsupervised Learning, Creating Customer Segments
moreirab/ai-collection
The Generative AI Landscape - A Collection of Awesome Generative AI Applications
moreirab/boston-housing
Projeto de previsão do preço de imóveis de Boston (Nanodegree Fundamentos de AI & Machine Learning)
moreirab/finding-donors
Machine Learning Engineer Nanodegree, Supervised Learning, Finding Donors for CharityML
moreirab/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
moreirab/ChatDev
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
moreirab/chicago-bikeshare
Neste projeto do curso de Fundamentos de AI & Machine Learning da Udacity, foi escrito um código Python para importar dados de compartilhamento de bicicletas nos EUA e responder a perguntas interessantes sobre eles por meio da computação de estatísticas descritivas. Também foi escrito um script que recebe uma entrada bruta para criar uma experiência no terminal, a fim de apresentar estas estatísticas.
moreirab/codenation-enem-1
Desafio de data science oferecido pela Code:Nation, que tem como objetivo descobrir os alunos com as melhores notas do ENEM 2016.
moreirab/codenation-enem-2
Desafio de data science oferecido pela Code:Nation, que tem como objetivo criar um modelo para prever a nota da prova de matemática de quem participou do ENEM 2016. Para isso, é utilizado Python, Pandas, Sklearn e Regression.
moreirab/crewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
moreirab/deep-learning-with-python
moreirab/dynamic-programming
Dynamic Programming mini project from the Machine Learning Engineer Nanodegree program.
moreirab/enron-scandal
Machine learning algorithms applied to explore Enron email dataset and figure out patterns about people involved in the scandal.
moreirab/gitignore.io
Create useful .gitignore files for your project
moreirab/guidance
A guidance language for controlling large language models.
moreirab/jira-issue-tracker
This project consumes Jira's REST API to yield a CSV file about issues changelogs.
moreirab/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
moreirab/materiais-publicos-treinamentos
Tudo que for público relativo a um treinamento deve ser adicionado aqui. A estrutura de pasta deve ser espelhada com com o repo materiais-treinamentos.
moreirab/MetaGPT
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
moreirab/moreirab.github.io
My online resume.
moreirab/musician-app
NodeJS / React sample app for AWS CI/CD pipeline tutorial
moreirab/nd009-quizzes-and-labs
Machine Learning Engineer Nanodegree quizzes and labs
moreirab/nfml-quizzes
Quizzes das aulas do curso de Fundamentos de AI & Machine Learning
moreirab/pandas_exercises
Practice your pandas skills!
moreirab/practice-python
Beginner Python exercises
moreirab/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
moreirab/prompttools
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
moreirab/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
moreirab/titanic-ml-from-disaster
This project predicts survival on the Titanic using ML basics