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artificial-intelligence-topics

Repositório destinado à alocação de arquivos da disciplina Tópicos Especiais em Inteligência Artificial do curso de Engenharia Elétrica da UFRN

boilerplate-arithmetic-formatter

Boilerplate arithmetic formater project (freeCodeCamp) by Pedro Varela

boilerplate-budget-app

Boilerplate budget app project (freeCodeCamp) by Pedro Varela

boilerplate-page-view-time-series-visualizer

Boilerplate page view time series visualizer project (freeCodeCamp) by Pedro Varela

boilerplate-sea-level-predictor

Sea Level Predictor project (freeCodeCamp) by Pedro Varela

boilerplate-time-calculator

Boilerplate time calculator project (freeCodeCamp) by Pedro Varela

canucontrol

controlsystemsii_controlampops

Trabalho da Unidade III da disciplina Sistemas de Controle II do curso de Engenharia Elétrica da UFRN

cursofap-softexpernambuco

Repositório para as atividades desenvolvidas no curso FAP da Softex Pernabuco

demented_adults_prediction

Prediction of Adults with Dementia based on MRI (Magnetic Resonance Imaging) data.

escultura3d_dca0803

Arquivos referentes à construção da escultura digital tridimensional do Spiderman, feita por Pedro Varela (UFRN) - Projeto referente à disciplina de Programação Avançada (DCA0803)

escultura3d_part2_dca0803

Arquivos referentes à construção da escultura digital tridimensional do Spiderman (SEGUNDA PARTE), feita por Pedro Varela (UFRN) - Projeto referente à disciplina de Programação Avançada (DCA0803)

fractal-de-newton-com-python

Jupyter Notbook com a explicação e código em Python da criação do Fractal de Newton de um polinômio com três raízes encontradas através do método de Newton-Raphson.

freecodecamp-pandas-real-life-example

freecodecamp-predict_health_costs_with_regression

My solution to FreeCodeCamp "Predict_Health_Costs_with_Regression" task: "In this challenge, you will predict healthcare costs using a regression algorithm. You are given a dataset that contains information about different people including their healthcare costs. Use the data to predict healthcare costs based on new data."

frequency_modulation

Um exemplo básico de como gerar um sinal de frequência e uma portadora de frequências arbitrárias, modular o sinal em frequência e mostrar os gráficos utilizando as bibliotecas NumPy e Matplotlib.

house_prices_prediction_kaggle

Work on the Kaggle Competition: House Prices Prediction

lab_com_files

Repositório destinado à alocação dos experimentos dos laboratórios de comunicações do curso de Engenharia Elétrica da UFRN

llm-study

Some studies on LLMs

logic-gates-with-mlp

Artificial Neural Network project with Multi-Layer Perceptron Algorithm to learn logic gates in C++.

marmoset-call-classification

Classification of marmoset calls using a hybrid convolutional-recurrent neural network.

ml_convolucionalnn_cat-dog_classification

My solution to FreeCodeCamp "Cat-Dog-Classification" task: "You will complete the code to classify images of dogs and cats. You will use TensorFlow 2.0 and Keras to create a convolutional neural network that correctly classifies images of cats and dogs at least 63% of the time. (Extra credit if you get it to 70% accuracy!)"

pedro-varela1

premier_league_2018-2019_player_analyses

A mathematical data analysis of this season's players

projeto_controlsistems_unidade2

Projeto de controle de um motor DC

realtimecapture

Simple implementation of a real time object detector in Python.

rootlocus-controller

O objetivo do trabalho é realizar o controle de um sistema de bombeamento utilizando as estratégias de controle com os controladores da família PID

spaceship_titanic-kaggle_competition

My work on the Spaceship Titanic - Kaggle_Competition

tesla-stock-forecasting

Tesla stock prices forecasting with LSTM in Pytorch

titanic-machinelearning-kaggle

My submit to Titanic Machine Learning competition. It was done by creating a neural network with a hidden layer whose activation function was "relu" and an activation function output "sigmoid". It was use the "Adam" optimizer. Pedro Varela, Electrical Engineering - UFRN