"The function of good software is to make the complex appear to be simple."
Grady Booch

This is a blog with experiences, experiments and insights in the world of Data Science.

They are actually a series of personal notes and projects but I tried to structure them in a way that they could be readable by anyone.

Recent Projects

CardinalityKit

Advanced Cardinality Estimation for Privacy-Preserving Analytics

Posted by Giacomo Saccaggi in December, 2025

Easy tagging and automatic tagging

The goal of this project is to make tagging procedures easier. I decided to create a Python package that allows me to speed up any image and text tagging procedures.

Posted by Giacomo Saccaggi in October, 2021

Getting emails from Yellow Pages

In this article we will focus on Web Scraping procedures with two programming languages (R and Python) to try to get emails from the Yellow Pages website.

Posted by Giacomo Saccaggi in January, 2021

Recycling, a statistical classification problem

Using Machine Learning, Deep Learning and Ensemble Learning techniques, we want to create a bin that, thanks to image recognition and also exploiting other information from selected sensors (for example ultrasonic response, photoresistors, weight, etc.), is able to understand if the thrown object should be placed in paper, plastic, etc.

Posted by Giacomo Saccaggi in March, 2020

Analysis of risk factors for an injury

This study aims to analyze which risk factors most influence the healing time of an injury, and also to analyze which possible factors can determine the non-healing of the injury.

Posted by Giacomo Saccaggi in September, 2019

Film history analysis

This project focuses on the film industry on which an exploratory analysis is carried out to identify interesting elements of this field.

Posted by Giacomo Saccaggi in January, 2019

Predicting the result of a football match

After analyzing the results of the last 25 years of football competitions of all teams from the 5 main European leagues, I decided to create a Bayesian model that could predict the result of a football match and then, using Machine Learning techniques, identify some matches that could be predicted with minimal error.

Posted by Giacomo Saccaggi in July, 2018

Articles and insights

Excel data analysis

Excel is a very popular tool for its ease of use but many functions that Excel offers are very often unknown to an average user.
This collection of articles aims to consolidate people who already have a minimum basic use of Excel on some topics.

Machine Learning and statistics

Forecasting, smoothing, webscraping, visualization, Machine Learning, statistics, psychometrics and many others are the tools available to a Data Scientist.
This collection of articles does not aim to explain all the knowledge of statistics and Machine Learning nor to explain the main topics that make up this vast world, but simply includes some topics that I consider important and interesting.