Sensor Logger is a free, easy-to-use, cross-platform data logger that logs readings from common motion-related sensors on smartphones. Once completed, recordings can be exported as a zipped CSV file, ...
In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. We start by generating synthetic data, then we define a ...
Hey everyone! I recently passed the NVIDIA Data Science Professional Certification, and I'm thrilled to share some insights to help you on your journey. This is part of a series where I'll break down ...
The Chi-square test is one of the statistical tests we can use to decide whether there is a correlation between the categorical variables. The Chi-square test assesses relationships between ...
Python has some really cool geospatial libraries out there but one of the newest is PyGMT, a powerful wrapper for the storied Generic Mapping Tools. On my continuing journey to learn PyGMT, I found ...
SciBERT is a pre-trained language model specifically designed for scientific tasks in Natural Language Processing. The model is based on the BERT architecture but trained on a large corpus of ...
##1.1 Methodology I performed a Mann-Whitney U-test to find the U-statistic and p-value by comparing the number of turnstile entries with rain and without rain. A two-tail p-value was used with no ...