Pseudocode

Programmers and data scientists mostly use the term pseudocode for programming and machine learning tasks. Through pseudocode, a programmer represents their codes and implementation...

Data Cleaning

Algorithms in machine learning can gather, store, and analyze data and generate a valuable outcome. These tools allow you to evaluate the condition using...

One Hot Encoding

Categorical encoding is a technique to encode categorical data. Keep in mind that categorical data are the sets of variables that contain label variables...

False Negative

While understanding the hypothesis, two errors can be quite confusing. These two errors are false negative and false positive. You can also refer to...

Lorenz Curve

What Is a Lorenz Curve? An American economist, Max Lorenz, introduced the concept of the Lorenz curve in 1905. He proposed a graphical representation...

Tokenization

Tokenization is not a new concept, as people frequently use it in the blockchain. However, the concept of the token is older than blockchain....

Multicollinearity

With increasingly advanced machine learning and deep learning algorithms, you can solve almost any problem with proper datasets. However, as the complexity of the...

Chi Test

When developing a machine learning model, you may encounter numerous problems. One common problem related to feature selection determines how relevant the input features...

Log Loss

In machine learning, you can solve predictive modeling through classification problems. For each observation in the model, you must predict the class label. The...