Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more.

This is a simple implementation of K-means algorithm in MATLAB and Python. K-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster ...

Unlike most of the algorithms with complex names, which are often confusing as to what they really mean, KNN is pretty straight forward. The algorithm considers the k nearest neighbours to predict the ...

Genea is a Genetic Algorithm written in Python, for educational purposes.. I started writing it for fun, while learning more about how genetic algorithms work. Given a list of genes and a fitness ...

We present “fastEntropyLib”, a set of Python functions, organized as a library, to facilitate the computation of popular definitions of entropy, used in biomedicine. Entropy estimation is a powerful ...

Advantages of Python . There are drawbacks to Python — for instance, its computing is often slower due its line-by-line execution style. However, its advantages make it an attractive coding choice.

This plot shows the variation of the algorithm of how it has learnt with each epoch. Conclusion. I’ve shown a basic implementation of the perceptron algorithm in Python to classify the flowers in the ...