In thirteen lines of code

In this lesson, we will be focusing on an intuitive explanation of the K-Nearest Neighbours (KNN) algorithm for classification which is…

En esta segunda parte vamos a construir tres conjuntos de datos nacionales con toda la información descargada y dejaremos todo listo para…

How we made our exploratory data analysis faster & informative by building a state model for the data frames? An Illustration

After going through multiple Python courses online, we present you with the best Python course available online today called ‘Python for…

En este artículo te enseñare paso a paso como instalar las tecnologías básicas para usar TODOS los datos del Censo de Población y Vivienda…

Training good models that deal with imbalanced data is challenging. Cost-sensitive training is one way of doing it.

I recently bought a M1 Macbook Air, i found it quite difficult to get all my libraries working, so i thought i’d explain how i got them…

Ultimate roadmap with golden rules included

Here are some free resume builders that you can use to build your resume in no time.

Using RFM Analysis with K-Means Clustering

Data is getting generated at a massive rate, by the minute. Organizations, on the other hand, are trying to explore every opportunity to…

Happy families are all alike; every unhappy family is unhappy in its own way. ( Leo Tolstoy )

Introduction

Python developers can now solve AI planning problems (such as the vehicle routing problem and employee rostering) with OptaPy. Let me show you how to use OptaPy and a bit of plain Python code to ...

Python 3.13 is out—when should you switch to using it?

Hey guys! I'm Ethan, I'm one of 10 Peregrine developers. This post is gonna be about some updates...

Learn how to create complex ETL pipelines easily in Apache Airflow.