Projeto realizado para a matéria de Introdução ao Aprendizado de Máquina, onde foi feito um modelo regressor utilizando algoritmos de Machine Learning com a biblioteca Scikit-Learn em Python.

Full-Stack application that allows client to use a predictive model to determine which user is more likely to have tweeted a given text. This project covers everything from API's to Predictive Modeling, SQLAlchemy database storage, Flask, along with other full-stack components. In the end it is deployed for online usage using Heroku.

Explore machine learning models and optimization techniques.

Spotify Playlist Music Recommendation System

This repository shows the implementation of machine learning algorithms, data pipelines and data visualization with scikit-learn and python.

simple classification of hanzi by scikit-learn

A trained ML model for prediction of house prices in IOWA using Random Forest Regression technique

The project analyzed Asana user data to determine adoption rate and factors influencing adoption. After data cleaning, an adoption rate of 12% was calculated. Predictor variables were extracted and modeled using Random Forest and Decision Tree classifiers. Both models performed well, with Random Forest achieving 87% accuracy.

Analyzing the most affecting factors that deteriorate the health of a person and predicting the risk of developing dreadful diseases using Machine Learning.

Repositório de códigos de teste do Python feito por Rafael da Silva Braga

Criação de modelo de classificação capaz de identificar documentos como petições iniciais com base de treinamento em dados do CRETA

Decision tree implementation using python scikit-learn

Winter24AICohort

A collection of documents and programs to learn about Data Science and ML using Scikit-learn.

Mobile Price Prediction

Data Science and Machine Learning project for a recipe website that wishes to increase their traffic.

Machine Learning on Raspberry Pi Zero and Zero-W