This repo contains my notebooks and experiments while following Karpathy's "Neural Networks: Zero to Hero" course. Started with NN fundamentals, and then built and trained complex models from scrat…

Reinforcement Learning: Soft Actor-Critic + LQR Controller for Pendubot Swing-up

Natural Language Processing: Neural dependency parsing with BiLSTM and BERT.

Script for scraping MYmovies.it using BeautifulSoup

Analyze and forecast time series data on the number of visitors to various Italian museums using techniques such as TimeGPT, SARIMAX, Holt-Winters, Lasso, Gradient Boosting, GAM, etc.

Programming assignments for "Computer Vision and Cognitive Systems" course at UniPd

Address the crowd counting problem on the Mall dataset (sparse) by exploring regression-based (Xception) and density-based (CSRNet) approaches.

Programming assignments for "Natural Language Processing" course at UniPd

Comparison of Gradient Descent and Block Coordinate Gradient Descent methods through a semi supervised learning problem.

Solving the Yashi game using a combination of graph theory and SAT-solving. First, connectivity of the graph is verified, and if true, identification of all possible cycles is done. Then, after gen…

A comprehensive Statistical Analysis in R of a Life Expectancy dataset, covering Data Wrangling, EDA (Visualizations and Hypothesis Testing), and Supervised Learning (Regression and Classification).

Homework projects for the "Big Data Computing" course at UniPd. The overall objective is to explore and utilize parallelism using Apache Spark.

Emotion recognition from EEG data (Bachelor's thesis), using the DEAP dataset. Performed manual feature selection across three domains: time, frequency, and time-frequency. Used different classifie…