AI/ML, Data Science

Standard deviation and standard error are two statistical measures that often get confused with each other. While both measures describe the variability in the data, they serve different purposes. Standard deviation measures the spread of the data. It calculates how far the individual data points deviate from the mean of the data set. A low …

Standard Deviation vs Standard Error: Clearing up the Confusion with Visual Examples Read More »

A new tactic appears to have arisen in the use of generative AI in social media. This tactic is comprised of rapidly generating seemingly knowledgeable responses to other people. One of the many challenges of this approach is that the generative AI is so lightweight in terms of understanding (It has none), that it mistakes …

Generative AI and the abuse of social media Read More »

Let’s explore the Central Limit Theorem (CLT) with an example of rolling two dice multiple times (let’s say 30 times). We will calculate the mean of the two dice values and plot its distribution to understand the CLT intuitively. Round 1: We roll the dice and get 2 and 5. The sample mean of 2 …

Mastering Central Limit Theorem (CLT) with Intuitive Examples Read More »

The concept of degrees of freedom is essential in statistical analysis, and it is commonly used in various statistical tests. In this blog post, we will explore A) Without any restriction B) With a restriction C) Degrees of freedom in contingency tables D) Bessel’s correction  with examples. This will help you to understand degrees of  …

Demystifying Degrees of Freedom with Visual Examples: A Beginner’s Guide Read More »

William Sealy Gosset, an English statistician who was also a beer brewer, developed the t-test. He used this test to ensure the consistency and quality of the beer he produced. Gosset published his work under the pseudonym “Student”, which is why the t-test is also known as the Student’s t-test. There are three types of …

A Beginner’s Guide to t-tests: Real-life Applications of t-test: One-Sample, Two Sample and Paired Sample t-test Read More »

Handling Outliers in Python How to detect outliers Histogram Histogram also displays these outliers clearly. Scatter Plot If there are more than one variable and scatter plot is also useful in detecting outliers visually. Handling Outliers If we can’t rectify the outliers, then we may think of some the following methods to handle outliers. Doing …

Outliers Read More »

In this post, let us explore: What is feature selection? Why we need to perform feature selection? Methods What is Feature Selection? Feature selection means selecting and retaining only the most important features in the model. Feature selection is different from feature extraction. In feature selection, we subset the features whereas in feature extraction, we …

Feature Selection: Filter method, Wrapper method and Embedded method Read More »

Principal Component Analysis (PCA) explained with examples In this post, let us understand   What is Principal Component Analysis (PCA) When to use it and what are the advantages How to perform PCA in Python with an example What is Principal Component Analysis (PCA)? Principal Component Analysis is an unsupervised data analysis technique. It is …

Principal Component Analysis Read More »