Dynamically set Angular Environment Variables in Docker

Angular’s environment variables are baked into the application on every build and not meant to be changed afterwards by default. This requires a separate build for every environment. In the world of containers it is common, to…

Classification Models: A Guide to Understanding and Implementing

Classification is a common task in machine learning that involves assigning a label or class to a given input data. It is a type of supervised learning, where the algorithm is trained on a labeled dataset to make…

Linear Regression Test With R

In this tutorial, I’m going to show you how to perform a simple linear regression test in R.

How to perform a simple linear regression in R

Remove duplicates from an array of objects

Suppose you have the following array of objects:

const members = [
  { id: 1, name: 'John' },
  { id: 2, name: 'Jane' },
  { id: 1, name: 'Johnny' },
  { id: 4, name: 'Alice' },
];

Code language…

How to Implement a Stack in Python?

A stack is a linear data structure that operates on the principle of Last In First Out (LIFO), meaning the last item added to the stack is the first item to be removed. Stacks are commonly used to implement algorithms, such as Depth-First Search (DFS) and to check…

Bias and Variance

Bias and variance are two important concepts in machine learning that describe the error in a model’s predictions. Understanding these two concepts is crucial for building models that generalize well to new data and make accurate predictions.