Pinned Repositories
Brain-Chain-LSPD-2020
University project concerning the development of software to call APIs, and create a `.csv` file to store the history of users' searches. This repo also includes testing made with unittest. Bachelors' in Digital Management, Cà Foscari - H-FARM. Course: Lab of Software Project Development 2020-2021
Business-Analytics-Project
Energy-Consumption-EU
Data analysis and data visualization of pollution trend in the European Union according to Eurostat data for the period 2008-2016
ENV50-Sound-classification
estimated-power-watts
Scripts for power estimator for Garmin IQ
House-Price-Prediction
kickstarter_projects
Comparison of ML algorithms for a binary classification task
MNIST-project
Multiclass classification problem. 90.04% accuracy with regularized SVC. No feature selection applied.
Model-agnostic-feature-selection
Development of a feature selection scheme that is robust across all the datasets and regardless of the ML model used for classification
Pandemic-online-behavior
MattiaBrocco's Repositories
MattiaBrocco/ENV50-Sound-classification
MattiaBrocco/Brain-Chain-LSPD-2020
University project concerning the development of software to call APIs, and create a `.csv` file to store the history of users' searches. This repo also includes testing made with unittest. Bachelors' in Digital Management, Cà Foscari - H-FARM. Course: Lab of Software Project Development 2020-2021
MattiaBrocco/Business-Analytics-Project
MattiaBrocco/Energy-Consumption-EU
Data analysis and data visualization of pollution trend in the European Union according to Eurostat data for the period 2008-2016
MattiaBrocco/estimated-power-watts
Scripts for power estimator for Garmin IQ
MattiaBrocco/House-Price-Prediction
MattiaBrocco/kickstarter_projects
Comparison of ML algorithms for a binary classification task
MattiaBrocco/LCS_2020_Key_encryption
MattiaBrocco/LISA_2020_Energy_prediction
MattiaBrocco/MNIST-project
Multiclass classification problem. 90.04% accuracy with regularized SVC. No feature selection applied.
MattiaBrocco/Model-agnostic-feature-selection
Development of a feature selection scheme that is robust across all the datasets and regardless of the ML model used for classification
MattiaBrocco/Pandemic-online-behavior
MattiaBrocco/Medicines_shipments_to_Africa
Comparison of several supervised learning techniques for regression, multi-class classification and binary classification from a Kaggle dataset
MattiaBrocco/R_market_analysis
MattiaBrocco/Seoul-Bike-Sharing
Prediction on bike sharing amounts in SEOUL
MattiaBrocco/VANET-game-theory