tommasopessina
System Engineer & MSc. Data Science and Economics graduating student at University of Milan
Eltek GroupCasale Monferrato
Pinned Repositories
fintech-project
A survival analysis approach to explore the subscription process to a fintech start-up based in Milan
-McDonald_s_nutrion_fact_analysis
The aim of this project is to analyze and discuss the nutrition fact of the McDonald’s American menu. We will simply cluster the menu in order to find some interesting result and will see what are the effect of some micro/macro nutrient on calories (in this particular example). All of this will be done using unsupervised learning statistical methods, like clustering and Principal Component Analysis, and some data visualization to correctly understand our result.
BlockchainSystem
covid19info
Information-Retrieval-Exam
Mobile-Application
Android mobile application for exam of Mobile Development
Sentimental-Analysis-Final-Project
Statistical-analysis-of-customers-spending
The aim of this paper is to analyze how the customer expenditure vary with respect to different factor, like age, gender and income, in order to make a model for predicting the customer’s expenditure. The data are collected by an American survey run outside of a supermarket. The analysis is done by running some bivariate test, association and correlation test in order to do a complete linear regression for correctly understand the implication of some factors on customer spending. After that we will discuss the fitting of a regression tree for the same purpose.
Time-Series-modelling-the-term-structure-of-interest-rate
The purpose of this project is to verify whether interest rates are related to each other by looking at short-term (monthly) and long-term (yearly) interest rates.
fdaa5907
tommasopessina's Repositories
tommasopessina/-McDonald_s_nutrion_fact_analysis
The aim of this project is to analyze and discuss the nutrition fact of the McDonald’s American menu. We will simply cluster the menu in order to find some interesting result and will see what are the effect of some micro/macro nutrient on calories (in this particular example). All of this will be done using unsupervised learning statistical methods, like clustering and Principal Component Analysis, and some data visualization to correctly understand our result.
tommasopessina/BlockchainSystem
tommasopessina/covid19info
tommasopessina/Information-Retrieval-Exam
tommasopessina/Mobile-Application
Android mobile application for exam of Mobile Development
tommasopessina/Sentimental-Analysis-Final-Project
tommasopessina/Statistical-analysis-of-customers-spending
The aim of this paper is to analyze how the customer expenditure vary with respect to different factor, like age, gender and income, in order to make a model for predicting the customer’s expenditure. The data are collected by an American survey run outside of a supermarket. The analysis is done by running some bivariate test, association and correlation test in order to do a complete linear regression for correctly understand the implication of some factors on customer spending. After that we will discuss the fitting of a regression tree for the same purpose.
tommasopessina/Time-Series-modelling-the-term-structure-of-interest-rate
The purpose of this project is to verify whether interest rates are related to each other by looking at short-term (monthly) and long-term (yearly) interest rates.
tommasopessina/TextMiningAssignment
tommasopessina/TV-Show-Network-Analysis