MSN 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

A study of Autoregressive Model Using Time Series Analysis through Python

Abstract: A Time-series investigation is a simple technique for dividing information from reconsideration perceptions on a solitary unit or individual at ordinary stretches over countless perceptions.
ascopubs.org

Immunotherapy Response and Survival Outcome by Immunophenotypic Signature in Non–Small Cell Lung Cancer

Detection of Homologous Recombination Repair Gene Mutations by Tumor Tissue and Circulating Tumor DNA Testing in Prostate Cancer in the Phase III PROpel Trial Current predictive biomarkers for immune ...
chromatographyonline

Standardizing Statistical Tools for “Omics’: Best Practices Using R and Python

A global team led by Michal Holčapek, professor of analytical chemistry at the Faculty of Chemical Technology, UPCE, Pardubice (Czech Republic), and Jakub Idkowiak, a research associate from KU Leuven ...
IEEE

Application of LDA and Multivariate Logistic Regression in Flood Forecasting and its AUC Evaluation

Abstract: This study combined linear discriminant analysis (LDA) and multivariate logistic regression models to systematically analyze key indicators in flood prediction, aiming to identify factors ...
C&EN

Open-Source Visual Programming Software for Introducing Principal Component Analysis to the Analytical Curriculum

Orange Data Mining is a Python based visual programming software that has been used widely in many scientific publications. Principal component analysis (PCA) is one of the most common exploratory ...
eLife

Eelbrain, a Python toolkit for time-continuous analysis with temporal response functions

Even though human experience unfolds continuously in time, it is not strictly linear; instead, it entails cascading processes building hierarchical cognitive structures. For instance, during speech ...