Graduation research paper on the topic of text classification using a multilayer perceptron.
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Updated
Jun 19, 2024 - Lua
Graduation research paper on the topic of text classification using a multilayer perceptron.
This project explores machine learning techniques, focusing on data preprocessing, model building, and evaluation. It includes data analysis, visualization, various algorithms, and performance comparison. Key topics: data cleaning, feature engineering, model selection, hyperparameter tuning, and evaluation metrics.
Python programs for filtering/segmenting vegetation from bare-Earth points in point clouds with RGB colour. This repo is supplementary to my AGU presentation in December 2021 and my manuscript published in Remote Sensing in June 2024.
The main goal of this project is to build a machine learning model that, given a Covid-19 patient's current symptom, status, and medical history, will predict whether the patient is in high risk or not.
FicaUAI - Fica University Artificial Intelligence 📈 - ANN MLP Data Science - Dropout - This application provides a graphical user interface (GUI) for managing and analyzing student data to predict dropout rates using an Artificial Neural Network (ANN) with a Multilayer Perceptron (MLP). Brasilian Portuguese: Evasão Universitária.
Repositório destinado aos projetos realizados na disciplina de Reconhecimento de Padrões (RP) [2023.1] do PPGEEC.
A handwritten digit classifier based on NeuralLib
Predicting market stock prices using various Machine Learning models. Data trained and tested up until 2017. Data found of Kaggle.
A application that can predict whether a person is having diabetes or not based on some parameters.
AI/ML projects to learn and improve
Fluency level classifier of L2 English speech
Data Science Challenge from Coursera Project : Churn Prediction
Sport analytics system
Repositório para a disciplina de Redes Neurais Artificiais
it is our solutions to the satellite imagery labs taught in college 🛰🌍
a proof of concept for what I call multi perceptron layer approach.
This repository holds my final year Data Science Individual Project (dissertation). I experiment with Neural Networks and Multivariate Logistical Regression to assess if ML is capable of being used within the NBA draft
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