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Data Science Tutorials

Advance your data career with our data science tutorials. We walk you through challenging data science functions and models step-by-step.
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Data Analysis

Arithmetic Mean: A Foundational Tool for Data Analysis

Explore the arithmetic mean's role in data analysis. Learn its formula, applications, and how it compares to other kinds of means and other statistical measures, and understand when each is most useful.
Vinod Chugani's photo

Vinod Chugani

October 28, 2024

Data Science

Synthetic Data Generation: A Hands-On Guide in Python

Learn everything you need to know about synthetic data generation. Discover the techniques and tools that make synthetic data essential for AI and machine learning with practical Python code examples to help you get started!
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Moez Ali

October 21, 2024

Data Analysis

Normalization vs. Standardization: How to Know the Difference

Discover the key differences, applications, and implementation of normalization and standardization in data preprocessing for machine learning.
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Samuel Shaibu

October 15, 2024

Data Science

Minkowski Distance: A Comprehensive Guide

Minkowski distance is a way of measuring the straight or curved path between two points, depending on a chosen parameter that affects the shape. Keep reading to learn about the fundamentals, applications, and comparisons of Minkowski distance in various fields.
Vinod Chugani's photo

Vinod Chugani

October 9, 2024

Python

Python NiceGUI: Build Powerful Web Interfaces with Ease

Explore how NiceGUI allows Python developers to create web-based user interfaces effortlessly, with interactive elements and real-time data updates.
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Laiba Siddiqui

October 9, 2024

Python

Structural Equation Modeling: What It Is and When to Use It

Explore the types of structural equation models. Learn how to make theoretical assumptions, build a hypothesized model, evaluate model fit, and interpret the results in structural equation modeling.
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Bunmi Akinremi

October 2, 2024

Data Analysis

Simple Linear Regression: Everything You Need to Know

Learn simple linear regression. Master the model equation, understand key assumptions and diagnostics, and learn how to interpret the results effectively.
Josef Waples's photo

Josef Waples

September 28, 2024

Data Analysis

Sample Standard Deviation: The Key Ideas

Learn how to calculate sample standard deviation and understand its significance in statistical analysis. Explore examples and best practices for real-world data interpretation.
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Allan Ouko

September 26, 2024

Data Science

What is Bootstrapping in Statistics? A Deep Dive

Explore how bootstrapping improves the estimation of confidence intervals and standard errors. Learn to distinguish between parametric and non-parametric bootstrapping techniques, and learn about bootstrapping in time series forecasting.
Josef Waples's photo

Josef Waples

September 23, 2024

Data Analysis

Understanding Sum of Squares: A Guide to SST, SSR, and SSE

Learn how to calculate the total sum of squares (SST), regression sum of squares (SSR), and error sum of squares (SSE) to evaluate regression model accuracy. Discover their mathematical relationships and how they impact R-squared.
Elena Kosourova's photo

Elena Kosourova

September 23, 2024