an ML like application to detect text subject.

SMOTE-MR: A distributed Synthetic Minority Oversampling Technique (SMOTE) for Big Data which applies a MapReduce based-approach. SMOTE-MR is categorized as an `approximated/ non exact` solution. Also, there is an `exact` solution called SMOTE-BD written by the author (See: https://github.com/majobasgall/smote-bd)

REST API to analyze Embrapa wine growing data

Understanding how different variables play a role in bike rentals by building a Linear regression model.

Some examples of Machine Learning with Python

Implementação de algoritmos de aprendizado de máquina para detecção de doença em radiografias.

The following is the code and data used to create a web app using streamlit and the python programming language. hopefully it can help and don't hesitate to be creative on LinkedIn, thank you

A CNN for classifying dog and cat images.

📊 My trajectory of studies with data science

Machine Learning Course - Fall 2022 - Lecturer : Dr. Sajjad Amini

To give people an estimate of how much they need based on their individual health situation. After that, customers can work with any health insurance carrier and its plans and perks while keeping the projected cost from our study in mind. I am considering variables as age, sex, BMI, number of children, smoking habits and living region to predict.

Repositório relativo aos resultados obtidos no Trabalho de Conclusão de Curso: "Mapeamento de Corpos Arenosos Costeiros: 13 Anos de Detecção de Praias e Dunas Utilizando Aprendizagem de Máquina".

Self-driving toy car built in C++ with raspberry pi, opencv, and tensorflow.

Game Google Chrome TRex 404 with ML

Crawling, Analyzing, Clustering music data from Spotify API

💡Analyzing customer data to predict decision making

Code for the KDL presentation at the Creative AI: Theory and Practice symposium