Clustering is one of the core techniques in unsupervised learning. It enables us to group similar data points without requiring any predefined labels. In this article, we explore how the K-Means algorithm can be applied to the widely-used Iris dataset, focusing on the sepal features. The objective of this analysis is to illustrate the entire clustering process, from determining the optimal number of clusters using the Elbow method to applying K-Means and comparing the results with the original …

In this article, we’ll break down a simple but powerful neural network implementation for recognizing handwritten digits using a Multilayer Perceptron (MLP). This task, commonly known as digit recognition, is a classic problem in machine learning and a great introduction to neural networks. 🧠 What is a Multilayer Perceptron (MLP)? A Multilayer Perceptron (MLP) is a type of artificial neural network that consists of an input layer, one or more hidden layers, and an output layer. Each layer conta…

👋 About the project Have you ever dreamed of contributing to the development of your favorite language? If so, you’ve come to the right place! Indeed, it’s not uncommon to come up against a problem that requires hours of research when working on a project. Fortunately, these hours of development can be shared to make life easier for everyday language users. In this article, I’ll do my best to keep things simple for the most novice of you, so that anyone can share their research with the world t…

👋 About The Project 1. Built With ⚙️ Getting Started This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps. 1. Prerequisites Prerequisites list of things you need to use the software and how to install them. PyEnv Python 3.9.5 (or greater) Activate your Virtual Env MyGES Package Requests Package (to handle API Call) 2. Usage Let’s started by creating your client to proceed your requests : ⚠️ Man…