Pinned Repositories
BigDataComputing-UniPd
Homework projects for the "Big Data Computing" course at UniPd. The overall objective is to explore and utilize parallelism using Apache Spark.
Churn-Prediction
CrowdCounting_Xception_CSRNet
Address the crowd counting problem on the Mall dataset (sparse) by exploring regression-based (Xception) and density-based (CSRNet) approaches.
Deep-Belief-Network
EEG-Emotion-Classification
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 classifiers, including XGBoost, AdaBoost, Random Forest, k-NN, SVM, etc.
MEB-Anomaly-FW-Optimization
Implementation of three variants of the Frank-Wolfe method for solving the Minimum Enclosing Ball problem, and application to anomaly detection.
Optimisation-BCGD-SemiSupervised
Comparison of Gradient Descent and Block Coordinate Gradient Descent methods through a semi supervised learning problem.
Statistical-Analysis-LifeExpectancy
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).
Time-Series-Forecasting-Museum-Visitors
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.
Yashi-Game-SAT-Logic
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 generating all necessary constraints, they are passed to a SAT solver.
Di40's Repositories
Di40/EEG-Emotion-Classification
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 classifiers, including XGBoost, AdaBoost, Random Forest, k-NN, SVM, etc.
Di40/BigDataComputing-UniPd
Homework projects for the "Big Data Computing" course at UniPd. The overall objective is to explore and utilize parallelism using Apache Spark.
Di40/Churn-Prediction
Di40/Deep-Belief-Network
Di40/MEB-Anomaly-FW-Optimization
Implementation of three variants of the Frank-Wolfe method for solving the Minimum Enclosing Ball problem, and application to anomaly detection.
Di40/Optimisation-BCGD-SemiSupervised
Comparison of Gradient Descent and Block Coordinate Gradient Descent methods through a semi supervised learning problem.
Di40/Statistical-Analysis-LifeExpectancy
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).
Di40/Yashi-Game-SAT-Logic
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 generating all necessary constraints, they are passed to a SAT solver.
Di40/CrowdCounting_Xception_CSRNet
Address the crowd counting problem on the Mall dataset (sparse) by exploring regression-based (Xception) and density-based (CSRNet) approaches.
Di40/Time-Series-Forecasting-Museum-Visitors
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.
Di40/ComputerVision-Assignments
Programming assignments for "Computer Vision and Cognitive Systems" course at UniPd
Di40/DeepLearning-Assignments
Di40/Font-Classification
Di40/IBM-Course-AnalyzingDataWithPython
Di40/IBM-Course-DataVisualization
Di40/IBM-Course-PythonProjectForDataScience
Di40/LSTM_yfinance
Di40/Pluralsight-Course-BuildingYourFirstMachineLearningSolution
Di40/Udemy-Course-CompletePython3AndPandasDataScienceMasterclass
Di40/Web-Scraping-MKD-Stock
Di40/WebScraping-MYmoviesIT
Script for scraping MYmovies.it using BeautifulSoup