D

data science

🍷 Análise da explicabilidade qualitativa do vinho português

This is an essay on how to organise a Data Science project in a collaborative way. It is a project carried out in the framework of practical work in an academic capacity. This repository is intended to be informative and organisational.

The project deals with the classification of more than 100+ flowers the project is a cv capstone project.

Repositório com todo o conteúdo para a disciplina de "Modelos e Frameworks de Machine Learning", da Escola de Negócios Sustentare.

Projection Mapping regional COVID-19 infections in real time on an abstract painting with the help of matter.js, p5.js and maptastic.js.

Project story is here: https://medium.com/@sektionschef/abstract-painting-visualizes-regional-covid-19-infection

Data Science of Digital Health: Lectures and code for the University of California Data Science for Digital Health course at UCSD Extension.

Projeto desenvolvido durante a produção do artigo "Probabilidade Para Previsão de Resultados" publicado no meu perfil do site dev.to.

Interactive time series visualization for the data scientist.

This is a space to test ML models:

PCA Random Forest SVM KNN MDS Decission trees Clustering

When uploading your test, please make sure to add the data set used to run the code :)

Sample technical tutorial/blog/articles

Projeto de Aprendizado de Máquina para reconstrução de sinais de ECG através de uma MLP. A escolha da melhor MLP é realizada através de um Algoritmo Genético.

A Terminal Aerodrome Forecast (TAF) producing automated weather forecaster. Uses machine learning, artificial intelligence, and data science to produce TAFs.

Jupyter notebooks for data analysis.

Blogdown site using GitLab Pages.

Server for distributing data to and from clients.

Projet d'analyse de 3 jeux de données en clustering. Les résultats serviront à la rédaction d'un article sur le blog d'Octo.

Using machine learning methodology to create a model that predicts which passengers survived the Titanic shipwreck under data science analysis flow from explore data analysis to model selection.

Using the fund data from the web scraping to established the model to predict the net asset value of the fund from the data clean, data pre-processing, model established and model selection.

Established the binary classification system to predict the client required if the bank product order; for bank marketing, this topic focus on the minority of the people who order the product.