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Tutoriale de analiză a datelor

Descoperiți cele mai noi instrumente și metode pe care le puteți folosi pentru a vă analiza datele mai eficient. Tutorialele noastre de analiză a datelor vă vor ajuta să vă dezvoltați abilitățile.
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Data Science

Poisson Distribution: A Comprehensive Guide

The Poisson distribution models the probability of a certain number of events occurring within a fixed interval. See how it's applied in real-world scenarios like queueing theory and traffic modeling.

Vinod Chugani

Data Analysis

AUC and the ROC Curve in Machine Learning

Learn how the AUC-ROC curve assesses binary classification models, focusing on performance across thresholds, particularly in imbalanced datasets. Use Python’s libraries to compute AUC values and compare classifiers in one workflow.

Vidhi Chugh

Data Analysis

Winsorized Mean: A Robust Approach to Handling Outliers

A winsorized mean reduces the influence of outliers by capping extreme values at specific percentiles, preserving the overall structure of the dataset. Read further to learn how to calculate the winsorized mean using Python for hands-on practice.

Arunn Thevapalan

Python

Python Tabulate: A Full Guide

Use the tabulate library in Python to create well-formatted tables. Learn about its advanced features and options for customizing table appearance.

Allan Ouko

Tableau

Tableau Pie Chart: Your Go-To Guide

Create compelling pie charts in Tableau with clear step-by-step instructions for importing data, adjusting sizes, and customizing colors. Discover advanced methods like grouping categories and adding filters.

Islam Salahuddin

R

Chi-Square Test in R: A Complete Guide

Learn how to create a contingency table and perform chi-square tests in R using the chisq.test() function. Discover practical applications and interpret results with confidence.

Arunn Thevapalan