Logistic regression is a classification technique that identifies the best fitting model to describe the relationship between the dependent and independent variables in a data set.
Data wrangling is the process of transforming raw data into easily understandable formats and organizing sets into a single structure for further processing.
The 1.5 IQR rule determines that any data point that’s 1.5 IQR points below the first quartile of data or above the third quartile is an outlier. Here’s why it’s 1.5 times IQR.
HashMap is a popular data structure in Java that uses the Map interface and a hash table to provide efficient access and manipulation of data based unique keys.
Kafka is a distributed streaming platform built using the publish/subscribe model to help companies receive large amounts of real-time data and process it. Here’s what you need to know.
Importance sampling is an approximation method that uses a mathematical transformation to take the average of all samples to estimate an expectation. Here’s how to do it.
