Marcello Bozzi Personal Web Site
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Updated
Apr 21, 2023 - Ruby
Marcello Bozzi Personal Web Site
Modelagem de processos para composição de projetos didáticos interdisciplinares: um produto do mestrado profissional do Programa de Pós-Graduação Gestão e Tecnologias Aplicadas à Educação (GESTEC), da Universidade do Estado da Bahia (UNEB).
My coding playground for personal skill-building and exploration. A collection of small coding projects where I experiment with different programming languages and technologies. Join me on my journey to sharpen my coding skills, one mini project at a time!
The repo for maintaining the Namaste React course from https://namastedev.com/. I am documenting the learning of React from Basics to advanced as mentioned in the course from creating components to Test cases
Glisten AI landing page remade based on a tutorial. Using react, nextJS, tailwindcss and gsap.
Playground, but for code
A simple web version of the Etch A Sketch drawing toy.
Códigos e projeto da disciplina de Algorítimos e estruturas de dados II
Learning react router v6
Simple Java programs for learning Core Java concepts
Simple Landing Page For Digital Blogging Web Site
Ce projet API REST sur le thème des Pokémon, réalisé avec Node.js, offre des fonctionnalités CRUD, de login, d'affichage, et de recherche individuelle de Pokémon. Idéal pour s'initier à JavaScript et Node.js, ce projet est ouvert aux contributions, notamment pour un développement frontend en Vue.js. Projet basé sur le tuto de Simon Dieny sur Udemy
Simple ray caster to create old-school FPS
A Project Based Learning CLO4 for Machine Learning using Random Forest and XGBoost
Apple iPhone 15 webpage remade using react, tailwindcss, gsap and threeJS.
Aplikasi web pembelarajan berbasis proyek
This repository is dedicated for Object-Oriented Programming course.
Skillset School - projects for improve programming skills for beginner developers.
ThreeJS 3D product website
This Machine Learning repository encompasses theory, hands-on labs, and two projects. Project 1 analyzes customer segmentation for marketing using clustering, while Project 2 applies supervised classification in marketing and sales.
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