Neural Networks Neural Network are computer systems inspired by the human brain, which can ‘learn things’ by looking at examples. They can be used in tasks like image recognition, where we want our model to

# Category Archives: Python

Logistic Regression Logistic regression is a technique which can be applied to traditional statistics as well as machine learning. It is used to predict whether something is true or false and can be used to

Linear Regression in Python In this post I wanted to show how to write from scratch a linear regression class in Python and then how to use it to make predictions. Let’s start! What is

Naive Bayes Classifier The Naive Bayes classifier is a simple algorithm which allows us, by using the probabilities of each attribute within each class, to make predictions. It makes the strong assumption that the attributes

k-means clustering with Python Today we will be implementing a simple class to perform k-means clustering with Python. Before continuing it is worth stressing that the scikit-learn package already implements such algorithms, but in my