A ready-to-run code including preprocessing, parameters tuning and model running and evaluation. — In this short tutorial I illustrate a complete data analysis process which exploits the scikit-learn Python library. The process includes preprocessing, which includes features selection, normalization and balancing model selection with parameters tuning model evaluation The code of this tutorial can be downloaded from my Github Repository.

The answer is no, and I explain why — Some years ago, my boss asked me to help him to prepare a University course on Data Journalism, while we were having another course on Web Design. Why move from Web Design to Data Journalism? First I was really baffled by this proposal and wondered what my boss was up…

A step-by-step tutorial in Python to reveal how your machine learning model works internally — One of the first mistakes a data scientist can make when building a model to represent data is to consider the algorithm used as a black box. …

Give your tired eyes a break and let AI efficiently auto-generate reports you don’t need to read — Stop wasting time rewriting the same report over and over again. With the spread of AI writing tools, reports get written automatically without human interaction, saving you time and effort. The task takes just a few seconds to set up, so you can stop writing from scratch every time. The…

An overview of the GeoPandas Python library, with a step-by-step example — Data science application often require working with data in geographic space. Shapefiles are files that store geospatial data organized using a file-based database. Shapefiles are used by GIS professionals, local government agencies, and businesses for mapping and analysis. In this blog post I will describe an elegant way of working…

Some basic concepts on Machine Learning Overfitting and some tips to mitigate it. — If you’ve invested some time in learning Machine Learning, you’ve likely come across the term overfitting. Overfitting is a common problem and no single framework is immune. It’s not uncommon for algorithms to overfit from their first implementation. However, we can prevent this from happening by knowing how overfitting affects…

In 2021 I wrote 95 articles, gained 1192 followers, and have known many people who share the same interests. — I started blogging for fun two years ago, in February 2020. I had no idea what I was doing. I still remember my first article on Towards Data Science, entitled Dataset Manipulation with Open Refine. You can’t imagine my joy when Ben Huberman and his staff accepted my first article! …

Some tricks and tips on how to improve the readability of a bar chart through the popular Python library for Data Viz — Recently I have read a very interesting book by Jose Berengueres, entitled Introduction to Data Visualization & Storytelling: A Guide For The Data Scientist. In this book, the author describes many techniques to extract from a dataset a very interesting story. …