Anderson Rici Amorim (anderici)

anderici

Geek Repo

Location:Brazil

Github PK Tool:Github PK Tool

Anderson Rici Amorim's repositories

rag-llm

This project uses Retrieval Augmented Generation (RAG) to improve the performance of LLMs on answering to questions about specific domains or recent information

Language:Jupyter NotebookStargazers:5Issues:0Issues:0

bullying-prediction

This project uses machine learning to predict a person propention to suffer from bullying.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

track-feature-names-sklearn

This code shows how to track feature names in scikit-learn pipelines

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

aws-sagemaker-study

This repo is all about AWS SageMaker study

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

clustering-explanation

This project uses clustering algorithms to segment customers and model explanation techniques to show variables importance.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

spotify-playlist-recommender

This project uses machine learning to refine Spotify recommendations

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

SIMBA-src

SIMBA (Sequence alIngMent By lion optimization Algorithm) is a tool to execute protein multiple sequence alignemnts, based on a parallel hybrid multiobjective lion optimization algorithm

Language:C#Stargazers:0Issues:0Issues:0

heart-disease-classification-pycaret

Este projeto utiliza a biblioteca PyCaret em todo o pipeline de produção de um modelo de machine learning para a predição de possibilidade de doença no coração

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

analise-dados-linear-regression

Este projeto utiliza Linear Regressor para compreender o que influencia clientes a gastarem mais em uma loja online de roupas

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

customer-sentiment-analysis

Este projeto realiza a análise de sentimentos de reviews de clientes, utilizando um modelo de Regressão Logística previamente treinado em um dataset coletado de comentários de usuários da Amazon sobre o jogo Cyberpunk 2077 para PS4

Language:PHPStargazers:1Issues:0Issues:0

game_sentiment_analysis

This Python script uses text-to-vector encoders and Logistic Regression to classify customers evaluation between good or bad.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0