Coder Social home page Coder Social logo

Software Developer with a Linux Passion 🐧


I'm a passionate Software Developer always eager to learn and explore new challenges. Lately, I've fallen head over heels for Linux and its powerful ecosystem.

My current focus is becoming a better Software Developer so I can elevate my career and make meaningful contributions to open source projects. 💻

As a personal goal, I want to dive deeper into Programming Languages Theory and to have some fun with Go and Rust. 🛡️.

In my free time, you'll likely find me tinkering with my editor, solving some random programming problem from leetcode or messing with a random project. 😉

I'm always looking to connect with fellow developers and security enthusiasts, so feel free to say hi! 👋


Tech Stack

SeaSkyThe-Python SeaSkyThe-C SeaSkyThe-GO SeaSkyThe-JAVA

SeaSkyThe-HTML SeaSkyThe-CSS SeaSkyThe-BOOTSTRAP SeaSkyThe-Js SeaSkyThe-Heroku

SeaSkyThe-Django SeaSkyThe-Flask SeaSkyThe-Postgres SeaSkyThe-MySql SeaSkyThe-MongoDB SeaSkyThe-Heroku





Snake Light

Snake Dark

Marcelo Eduardo R.'s Projects

flask-ner icon flask-ner

Flask + spaCy simple API for Named Entity Recognition

lalg-compiler icon lalg-compiler

Project for the "Compilers" course of the Computer Science program of São Paulo State University (UNESP).

machine-learning-recommender-systems icon machine-learning-recommender-systems

This work was developed as a research for São Paulo State University (UNESP). Recommendation Systems are applications that have become very fundamental with the massive growth of the Internet, as they started to help the customers of different services to choose products that fit the most into their interest in an automated way. Additionally, with the increase in data volume, it is essential to use computational approaches for the automatic recommendation task. The implementation of these systems has been, therefore, crucial to the efficient operation of a lot of different businesses, being within the main ones, the streaming services. With the increasing popularity of these services, which have so many options, whether they are products for purchase or content for immediate consumption (such as media as TV Series), the need arose to increasingly improve the techniques used in the recommendation systems applied within these services, as the large number of options sometimes are not attractive to the costumer, being more efficient to show items that are into the area of interest of this customer. We used some data manipulation techniques in a movie dataset, to be able to create machine learning models that are capable of generating recommendations, graphically checking their effectiveness and performance in generating such recommendations.

ml-models-web-app icon ml-models-web-app

Web application to display one of the movie recommendation models, based on Machine Learning, created during my undergraduate thesis. Built with Flask

monkeyinterpreter icon monkeyinterpreter

This is a Interpreter for the Monkey Programming Language, presented in the "Writing An Interpreter In Go" book by Thorsten Ball

myfirstcanvas icon myfirstcanvas

This repo shows my first experience learning about Canvas (HTML and JS). This will be my base to more visual personal projects. :)

pyflap icon pyflap

Regex, Finite Automatas and Regulars Grammars Validator.

rmi-java icon rmi-java

Java Homework using Remote Method Invocation

task-queue-test icon task-queue-test

A simple task queue using Redis and Huey. The base is the Django framework

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.