Federico

Then I realized I had been murdered.They looked for me in cafes, cemeteries and churches...but they did not find me.They never found me?No. They never found me. Actors from Tribuene Teatro in Madrid, playing La Casa de Bernarda Alba, written by Federico Garcia Lorca. (Criben/Shutterstock) - From The Fable And Round of the Three Friends, Poet in New York (1929) Few contemporary film buffs have watched Govind Nihalani’s Rukmavati Ki Haveli (1991). An unusual tragedy adapted from Spanish poet, artist and…

The first metric we take into account is accuracy. Let’s see the formula:The formula of accuracy written by the Author on embed-dot-fun.So, accuracy is a measure of how often our ML model is correct in its predictions.For example, let’s say we have a dataset of emails that are labeled as either spam or not spam. We can use ML to predict whether new emails are spam or not. If the model correctly predicts that 80 out of 100 emails are spam, and correctly predicts that 90 out of 100 emails are not spam, then its accuracy…

The p-value fallacy: why we need to stop treating them as GospelImage by Gerd Altmann on PixabayIn a recent article, I stated that we don’t always need to calculate p-values in Data Science, showing we found a good model to solve an ML problem without calculating them.Now it’s time to write an article that clarifies this statement. I know: this will be a controversial article, and I’d really like to hear your opinions in the comments.If you’re an aspiring Data Scientist, here you’ll find the definition of the p-values and…

All you need to know about Linear Regression is here (including an application in Python)Image by Dariusz Sankowski on PixabayIf you’re approaching Machine Learning, one of the first models you may encounter is Linear Regression. It’s probably the easiest model to understand, but don’t underestimate it: there are a lot of things to understand and master.If you’re a beginner in Data Science or an aspiring Data Scientist, you’re probably facing some difficulties because there are a lot of resources out there, but are…

Enhance readability: tips for displaying datasets in the CLIImage by Dorothe on PixabayA couple of days ago I wanted to help my father solve a problem. His need was to aggregate, filter, and display some data as fast as possible. Well…the truth is that he printed the data (something like 10 pages each time!!) and search the data by hand! I saw his difficulties and decided to help him immediately.Nothing as difficult for someone who can analyze data as I am: the data was already in Excel format, so a Jupyter Notebook and…

Why statistics for data science should be engineered.Image by Keith Johnston on PixabaySome days ago I read the topic of a thread on a channel I follow dedicated to Data Science; it was something like: “I flip 8 different coins. What’s the probability of tails for the 8th coin?”And you know what? This reminded me why I hated statistics at school, even though my statistics classes were “light”.Luckily for me, I started studying Data Science when I was working. At the time, I had the chance to start studying statistics…

Boost your Python skills with this comprehensive class referenceImage by Lukas Bieri on PixabayWhen it comes to classes, many Python developers struggle, for a lot of reasons. Firstly — in my opinion — because the concept of Object Oriented Programming is not always clear. Secondly, because the ideas behind classes and Object Oriented Programming (OOP) are a lot and the explanations we may find here and there (mainly, online) may be superficial.In this article, I want to cover the most important concepts behind Python…

Training FashionCLIP, a domain-specific CLIP model for FashionPhoto by Domenico Loia on Unsplash.This is a short blog post describing FashionCLIP. If you are a data scientist you probably have to deal with both images and text. However, your data will be very specific to your domain, and standard models might not work well. This post explains how domain-specific vision and language models can be used in a domain-specific setting and why using them can be a promising way to create a search engine or a (zero-shot)…

The definitive guide on all the knowledge you should have on the metrics used in regression analysisImage created by Author on Dall-E by the prompt “A futuristic robot teaching math at a blackboard”.In the case of Supervised Learning, we can subdivide the ML problems into two subgroups: regression and classification problems.In this article, we’ll discuss the five metrics we use in the case of regression analysis to understand if a model is good or bad to solve a particular ML problem.But, first of all, let’s refresh what…

Master these libraries for a smoother career pathImage by 200 Degrees on PixabayIf you want to study Python for Data Science to start a new career, I’m sure you are struggling with all these things to know and master. I know you are overwhelmed by all these new concepts, including all the mathematics you should know, and you may feel you’ll never arrive at the goal of your new job.I know: job descriptions do not help with that. It really seems like Data Scientists must be aliens; even juniors, sometimes.In my opinion, an…