Michele Carlo La Greca's repositories
Classification-Of-Time-Series-Using-RNN
Second challenge of the 'Artificial Neural Networks and Deep Learning' Course, aiming on classifing time series using different RNN architectures, exploring and improving their structures.
Road-Sign-Classification-with-PyTorch
Project inserted in the last chapter of my Bachelor Thesis, aiming on build a AI model to classify road sign images based on deep learning
Classification-Of-Plants-Using-CNN
First challenge of the 'Artificial Neural Networks and Deep Learning' Course, aiming on classifing plants and leaves using different CNN, exploring and improving their structures.
Classification-On-Imputed-Data
Project of the 'Data and Information Quality' Course, aiming on describing the accuracy of imputing methods to deal with missing values, and showing the influence of these methods in ML algorithms.
Odometry-mapping-navigation-on-ROS-part1
First part of the project of the 'Robotics' course, aiming on calculating the odometry of an autonomous robot using the controll variables (speed and steering angle) provided as a .bag file, recorded in a LAB.
Odometry-mapping-navigation-on-ROS-part2
Second part of the project of the 'Robotics' course, aiming on performing mapping and navigation, building a map using the data provided as a .bag file, recorded in a LAB.
Puerto-Rico-Damaged-Roads-Recognition
Recognition of damaged roads with no entry or exit present in the territory of Puerto Rico, using AI models and data coming from LIDARs.
X-Ray-images-classification
Project of the 'Applied AI in Biomedicine' Course, aiming on classifing X-ray patients images in Normal, Tuberculosis or Pneumonia, and explaining the result with XAI.
Bitcoin-Sentiment-Analysis-and-Stock-Prediction
Project of the 'Social Media Management' Course, aiming on perform a sentiment analysis of tweets about Bitcoin, and a stock prediction using Machine Learning
COVID-19-Management-System
Project of the 'Database and Web Programming' Course, aiming on building a relational database for a correct and useful approach to the new COVID-19 Pandemic
DIGISER
Final project of 'Applied Statistics' Course, aiming on helping stakeholders and policy makers in making decisions on best-possible actions to boost digital transformation of local public services in the European Union.
DREAM
Project of the 'Software Engineering 2' Course, aiming on produce a complete platform for satisfing the needs of farmers, agronomists and policy makers of Telangana
Fidelity-Card-Management
The project uses MuleSoft technology and the Anypoint Platflorm development environment. The scope of the project is a supermarket loyalty card management system.
The-COVID-19-Scene-Laravel
Project of the 'Database and Web Programming' Course, aiming on building a platform for a correct and useful approach to the new COVID-19 Pandemic
Twitter-API-Tutorial
Project of the 'Social Media Management' Course, aiming on giving a detailed explaination of how to use the Twitter API.