Enrico Grimaldi's Projects
# 4 Homework for the course in Algorithmic Methods for Data Mining (ADM) at La Sapienza university of Rome.
Small project to test Bayesian analysis tools for studying determinants of fertility for adult males
Empirical dimonstration of the Miscalibartion phenomenon for NN, analysis of possible causes and solutions implementation.
Homework for the course Statistical Methods for Data Science @ La Sapienza University of Rome a.y. 2022/23
Implementation of Regression Splines from scratch to predict the cosmic microwave background (CMB) angular power spectrum
Implementing algorithms based on the analysis of the gradients in NN computational graphs to provide nice insights for Explainable AI
Small project to practice with Hugging Face models and the LangChain library implementing a flash cards generator AI powered
# 2 & # 3 homeworks in "Statistical Methods for Data Science" course at La Sapienza University of Rome: analysis of fMRI scans for sick vs non-sick brains
The project involves analyzing transactions and classifying them into fraudulent and non-fraudulent through Machine Learning techniques.
Find and implement the optimal algorithm for dispatching and scheduling of tasks in a Google cluster with single dispatcher server.
Hackathon on accelerometer data from CERN for anomaly detection
# 1 Homework for the course in Algorithmic Methods for Data Mining (ADM) at La Sapienza university of Rome
# 2 Homework for the course in Algorithmic Methods for Data Mining (ADM) at La Sapienza university of Rome
Project aimed to simulate two different Data Center topoligies and compare their perfomances in a controlled environment
# 5 Homework for the course in Algorithmic Methods for Data Mining (ADM) at La Sapienza university of Rome
Images search engine scaled with Docker and AWS. Auxiliary tool for medical research.
Analysis of customer ratings and comments for a set of products and constructing a Language Model which can classify a customer's comments as negative or positive.
Textual data manipulation projects with applications of advanced data mining techniques: recommendation systems, information retrieval systems, search engines, latent sentiment analysis, pagerank, PCA.
TinyML project for analyzing accelerometer and gyroscope signals and classifying possible falls in real time using a microcontroller
Bayesian analysis and forecasting of Bitcoin volatility and definition of GARCH and ARCH models through MCMC sampling.
# 3 Homework for the course in Algorithmic Methods for Data Mining (ADM) at La Sapienza university of Rome.