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

uc 一款专注于数据分析的神经网络

CineMatch is a movie recommendation system that uses machine learning algorithms to provide personalized movie suggestions based on user preferences and viewing history. It helps users discover new movies they will enjoy and provides valuable insights to the entertainment industry.

An educational multilayer perceptron (MLP) programmed from scratch in Java

A Multi Layer Perceptron created to calculate XOR (eXclusive OR) on 5 inputs

Legacy code (2018) for Non-Functional Requirement (NFR) sentence classification using an Artificial Neural Network (ANN), also known as a Multi-Layer Perceptron (MLP), selected as a baseline to evaluate the performance of more advanced models.

🩺🔬 MLP-based Breast Cancer Diagnosis: Predicts tumor malignancy from image features, aiding in early detection. 📊🤖

Machine learning project to predict fetal heart health outcomes from CTG exam data.

Детектирование птиц по фотографиям

The goal of this project is to create a classifier and see how accurately it can predict song genres. Taking a dataset from Spotify [Pandya, 2022], which is al- ready using machine learning algorithms for these purposes, can help assess if the resulting model can be considered apt for a large-scale business.