Ajitesh Kumar

Data Ingestion Types – Concepts & Examples

Last updated: 17th Nov, 2023 Data ingestion is the process of moving data from its original storage location to a…

1 year ago

Two samples Z-test for Means: Formula & Examples

Last updated: 21st Nov, 2023 Statistical hypothesis testing is an essential tool in inferential statistics that enables researchers to make…

1 year ago

Histogram Plots using Matplotlib & Pandas: Python

Last updated: 16th Nov, 2023 Histograms are a graphical representation of the distribution of data. In Python, there are several…

1 year ago

Confusion Matrix Concepts, Python Code Examples

The confusion matrix is an essential tool in the field of machine learning and statistics for evaluating the performance of…

1 year ago

Maximum Likelihood Estimation: Concepts, Examples

Maximum Likelihood Estimation (MLE) is a fundamental statistical method for estimating the parameters of a statistical model that make the…

1 year ago

Wilcoxon Signed Rank Test: Concepts, Examples

How can data scientists accurately analyze data when faced with non-normal distributions or small sample sizes? This is a challenge…

1 year ago

R-squared in Linear Regression Models: Concepts, Examples

In linear regression, R-squared (R2) is a measure of how close the data points are to the fitted line. It…

1 year ago

Hierarchical Clustering: Concepts, Python Example

Hierarchical clustering a type of unsupervised machine learning algorithm that stands out for its unique approach to grouping data points.…

1 year ago

Minimum Description Length (MDL): Formula, Examples

Learning the concepts of Minimum Description Length (MDL) is valuable for several reasons, especially for those involved in statistics, machine…

1 year ago

AIC & BIC for Selecting Regression Models: Formula, Examples

Are you grappling with the complexities of choosing the right regression model for your data? You are not alone. When…

1 year ago

Linear Regression Datasets: CSV, Excel

Linear regression is a fundamental machine learning algorithm that helps in understanding the relationship between independent and dependent variables. It…

1 year ago

Pearson vs Spearman: Choosing the Right Correlation Coefficient

Are you as a data scientist trying to decipher relationship between two or more variables within vast datasets to solve…

1 year ago

Pearson Correlation Coefficient: Formula, Examples

In the world of data science, understanding the relationship between variables is crucial for making informed decisions or building accurate…

1 year ago

t-distribution vs Normal distribution: Differences, Examples

Understanding the differences between the t-distribution and the normal distribution is crucial for anyone delving into the world of statistics,…

1 year ago

First Principles Thinking using ChatGPT

Have you ever wondered why an object such as a chair is shaped the way it is, or why it's…

1 year ago

Generative AI Framework for Product Managers: Examples

Ever wondered how you as a product manager can stay ahead in the competitive era fuelled by technological advancements such…

1 year ago