Pinned Repositories
clean-code-ml
:bathtub: Clean Code concepts adapted for machine learning and data science. Now a free video series đ https://bit.ly/2yGDyqT
Data-Science--Cheat-Sheet
Cheat Sheets
Desafio-cinematografico
Desafio realizado durante o bootcamp Mulheres em InteligĂȘncia Artificial (MIA) em parceria com a Microsoft
Desafio-de-classificacao-Tera
Desafio-de-inferencia-Tera
Resolução do desafio proposto de inferĂȘncia no curso de Data Science & Machine Learning da Tera
Desafio-Pandas-Basics
Desafio utilizando a biblioteca pandas com dados de 2019 das empresas Amazon, Apple, Google, Netflix e Tesla
DescomplicandoDocker
Descomplicando o Docker, o livro.
essay_evaluator
Bot that evaluates ENEMs essays
Estudo-sobre-amostragem
ExplicaçÔes sobre alguns tipos de amostragem com exemplo, exercĂcio e bases de dados
Exercicio-undersampling-e-oversampling
ExercĂcio sobre undersampling e oversampling usando o algoritmo Random Forest
nialefs's Repositories
nialefs/clean-code-ml
:bathtub: Clean Code concepts adapted for machine learning and data science. Now a free video series đ https://bit.ly/2yGDyqT
nialefs/Data-Science--Cheat-Sheet
Cheat Sheets
nialefs/Desafio-cinematografico
Desafio realizado durante o bootcamp Mulheres em InteligĂȘncia Artificial (MIA) em parceria com a Microsoft
nialefs/Desafio-de-classificacao-Tera
nialefs/Desafio-de-inferencia-Tera
Resolução do desafio proposto de inferĂȘncia no curso de Data Science & Machine Learning da Tera
nialefs/Desafio-Pandas-Basics
Desafio utilizando a biblioteca pandas com dados de 2019 das empresas Amazon, Apple, Google, Netflix e Tesla
nialefs/DescomplicandoDocker
Descomplicando o Docker, o livro.
nialefs/essay_evaluator
Bot that evaluates ENEMs essays
nialefs/Estudo-sobre-amostragem
ExplicaçÔes sobre alguns tipos de amostragem com exemplo, exercĂcio e bases de dados
nialefs/Exercicio-undersampling-e-oversampling
ExercĂcio sobre undersampling e oversampling usando o algoritmo Random Forest
nialefs/GenAI_Agents
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.
nialefs/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI đ https://microsoft.github.io/generative-ai-for-beginners/
nialefs/Large-Language-Models
Large language Models (LLM)
nialefs/linux-bash-for-de
nialefs/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
nialefs/LLM-Engineers-Handbook
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
nialefs/ML-Engineering
Reference code base for ML Engineering, Manning Publications
nialefs/nialefs
nialefs/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.