Tag: Dataset

Tidying Up the Framework of Dataset Shifts: The Example

I recently talked about the causes of model performance degradation, meaning when their prediction quality drops with respect to the moment we trained and deployed our models. In this other post, I proposed a new way of thinking about the causes of model degradation. In that framework, the so-c...

14 — Exploring Logistic Regression with the “Iris” Dataset

Welcome to another exciting chapter of the Data Science 2-Minutes Series! In this chapter, we’re going to dive into the world of Logistic Regression using the classic “Iris” dataset. Get ready for a fun and informative read on classification! Step 1: Data Wrangling We start b...

Tidying Up the Framework of Dataset Shifts: The Example

I recently talked about the causes of model performance degradation, meaning when their prediction quality drops with respect to the moment we trained and deployed our models. In this other post, I proposed a new way of thinking about the causes of model degradation. In that framework, the so-c...

Unveiling Barcelona’s Rental Market: From Districts to Seasons, What the ‘Rent Price in Barcelona 2014–2022’ Dataset Reveals

ince 1984, Barcelona has been organized territoriality into 10 districts, in turn divided into neighborhoods, which make up a total of 73. Figure 2. Districts and neighborhoods of Barcelona. 1. What Are the Most Expensive and Affordable Neighborhoods for Renting in Barcelona by Year? Fi...

Fine-Tuning a YOLOS model for object detection on a fashion dataset

In the Fashionpedia dataset, boxes are specified in the following format: (x1, x2, y1, y2) which differs from the format required by YOLOS (x_center, y_center, width, height). The following functions will help us switch between two formats. def xyxy_to_xcycwh(box): x1, y1, x2, y2 = box.unb...