Projeto de previsão de fraudes em instalações de aplicativos utilizando (após uma análise exploratória dos dados) diversos algoritmos de machine learning para classificação
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Updated
Jun 29, 2021 - Jupyter Notebook
Projeto de previsão de fraudes em instalações de aplicativos utilizando (após uma análise exploratória dos dados) diversos algoritmos de machine learning para classificação
Deep Q Learning (DQN) neural net to optimize a lunar lander control policy using OpenAI Gym environment.
Comparison of Models using NASA Kepler data
Second project about Classification
Cat vs. Dog classification model using traditional ML methods, including data collection, splitting, HOG feature extraction, model training (e.g., SVM, Decision Tree), and fine-tuning via Grid Search.
Implémentation des algorithmes simples de Data Science
This repository contains the code and data for a comprehensive survival analysis and prediction study conducted on patients with advanced heart failure. The study focused on 299 patients classified as class III/IV heart failure.
Breast Cancer Wisconsin Dataset Classifier with Scikit-learn and Streamlit
The aim of the project is to determine if a customer will default payment next month or not.
Predict the outcome of shelter animals
Reducción de tiempo de ejecución de los algoritmos de Machine Learning con búsqueda de parámetros en GridSearch.
Self-assigned project for visual analytics class at Aarhus University, 2021
Prediction of summary source in Python.
Pattern Recognition, NYCU. Homework 4
Various small projects covering a wide range of topics
ECE NTUA Neural Networks
Applications/Files created in my internship at the Institute for Artificial Intelligence in Bremen (http://ai.uni-bremen.de/).
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