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guilherme-iram/README.md

💫About Me :

Hey, how are you? 👍,

  • Undergrad Data Science and Artificial Intelligence at Federal University of Paraiba (UFPB);
  • Currently studying and working with Operational Research and Optimization for Vehicle Routing Problem (VRP) and some variants, kind VRPTW and CVRP;
  • Also studying Deep Learning and doing projects involving Machine Learning and Data Engineering.

👾 What will you find in this profile?

  • Machine Learning for Classification:
    • PLA
    • Logistic Regression
    • Decision Tree
    • Neural Networks
  • Machine Learning for Regression:
    • Linear Regression
    • Decision Tree for Regression
    • Random Forest for Regression
  • Graphs:
    • Depth search algorithm
    • Breadth search algorithm
    • Minimum cut algorithm
  • Operational Research:
    • Mathematical models
    • Simplex method
    • Branch and bound algorithm;
  • Optimization: implementation of metaheuristics to solve:
    • TSP
    • VRP
  • Database: projects involving the creation of the database architecture from 0 to its implementation in the code with their respective queries for creating tables, updating, removing and adding records.

🚀 My Interests

  • Data Science
  • Data Engineering
  • Software Engineering
  • Artificial Intelligence
  • Optimization
  • Operational Research

💻Tech Stack

  • Python
  • C++
  • C#
  • SQL
  • SQLite
  • Pandas
  • Numpy
  • Scikit-Learn
  • Keras
  • Tensor Flow
  • PyTorch
  • Matplotlib
  • Seaborn

📊GitHub Stats :


🌐Socials

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  1. CNN-CIFAR CNN-CIFAR Public

    Repositório dedicado a resolução do dataset CIFAR utilizando CNN

    Jupyter Notebook 1

  2. Projeto_HousePrice_SP Projeto_HousePrice_SP Public

    Aplicação de métodos de regressão para prever o valor de apartamentos de São Paulo em um dataset adaptado utilizando os modelos de regressão linear, arvores de decisão e random forest para regresão.

    Jupyter Notebook

  3. Digits_project Digits_project Public

    projeto de Machine Learning com modelos lineares: Perceptron Algorithm Learning, Regressão linear e Regressão logística para classificação em uma adaptação do MNIST Dataset

    Jupyter Notebook

  4. Eat-Boy-POO-Cpp Eat-Boy-POO-Cpp Public

    Projeto final da disciplina de Programação Orientada a Objetos - um jogo inspirado no clássico Pac-man implementado em C++

    C++ 1

  5. RPG-Turn-Based-OOP-Py RPG-Turn-Based-OOP-Py Public

    Projeto simples de um jogo RPG baseado em turnos para treinar Programação Orientada a Objetos

    Python

  6. Teoria-dos-Grafos-Aplicada Teoria-dos-Grafos-Aplicada Public

    Repositório destinado às implementações feitas durante a Disciplina de Teoria dos Grafos Aplicada

    Jupyter Notebook