How-To Geek on MSN

These 5 Python libraries turned me into a better data analyst than Excel ever could

The power of Python trumps Excel workbooks.
IEEE

Addressing Driving Actions of At-Fault Older Drivers: Bayesian Bivariate Ordered Probit Analysis

Abstract: This study aimed to examine the driving actions of at-fault older drivers, and investigate the interrelations between the unobservable factors. To reach the goal, a Bayesian bivariate ...
BMJ

Prediction of zero-dose children using supervised machine learning algorithm in Tanzania: evidence from the recent 2022 Tanzania Demographic and Health Survey

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...
GitHub

Data Analysis in Base Python - Introduction

When we say "base Python", this means that we are emphasizing the data types and modules that are part of Python itself, rather than using third-party libraries. For much of this course, you will use ...
Analytics Insight

Python vs R: Which is Better for Data Analysis and Statistics

Data analysis and statistics are essential skills for anyone who wants to work with data and extract meaningful insights from it. Whether you are a researcher, a business analyst, a data scientist, or ...
Oak Ridge National Lab

Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models

Achievement: Constructing fiber surfaces is a popular technique for multivariate data visualization that generalizes the idea of level-set visualization for univariate data to multivariate data. The ...
IEEE

Bivariate analysis of cardiovascular disease risk factors in Gezira state, Sudan (2019) : A hospital-based case-control study

Abstract: Cardiovascular diseases are the leading cause of death globally, in Africa, the rate is expanding quickly and it is currently a Public health concern. Inevitably the rate is increased in ...