# Statistics

## What is the z-score?

Learn how to calculate and interpret z-scores in statistics. Understand the relative position of data points within a distribution.

## What is the F1-Score?

Maximize your model’s performance with the F1-score. Learn its definition, interpretation, and limitations in this comprehensive guide.

## What is a Histogram?

Discover the power of histograms for data visualization and analysis. Learn how histograms provide insights into data distribution and patterns.

## What is LDA (Latent Dirichlet Allocation)?

Discover the Latent Dirichlet Allocation (LDA) algorithm for topic modeling and uncover hidden patterns in textual data.

## What is the Standard Deviation?

Understand Standard Deviation: Definition, Calculation & Interpretation. Learn How to Measure Data Variability with Examples. Read More.

## What is the Selection Bias?

Learn how selection bias can skew your data analysis. Avoid errors in decision-making. Read more about selection bias in this informative article.

## tSNE Algorithm – explained simply and in detail!

Visualize complex data with t-SNE: a powerful dimensionality reduction technique. Learn how it works and its applications in data science.

## Principal Component Analysis – easily explained!

Principal Component Analysis explained with examples and defining the prerequisites.

## Population and Sample – simply explained!

Definition of population and sample with examples, advantages of sampling and sampling methods.

## Correlation and Causation – easily explained!

Discover relationships in your data with correlation analysis. Measure the strength and direction of associations.