cifar10-classification

Kaggle competition that consists of classifying the typical set of CIFAR10 images: 10 different classes of 3 channels (RGB). A multilayer convolutional network was used.

corne-wireless

cristiangofiar

datathon-marine-2022

Sound deep learning model for the Datathon Marine 2022 competition.

genetics-algorithms

Projects carried out for the subject genetic algorithms

inteligerp-ai

AI models for stock and sales forecast.

mnist-classification

Kaggle competition that consists of classifying the typical set of MNIST images: handwritten numeric characters in 1 single channel (grayscale). They go from 0 to 9. A multilayer convolutional network was used.

noob-kaggle-competitions

First Kaggle competitions.

prediction-sales

Kaggle competition that consists of predicting the amount of sales in a certain window of time of thousands of products for dozens of stores. An 8-parameter LSTM network was used.

titanic-survivors-prediction

Kaggle competition that consists of predicting if a group of people survived or not based on their data. The typical multilayer perceptron was used.