
K-NN For Classification
We can use the nearest neighbour algorithm for classification too. This python notebook explains how to perform the k-Nearest Neighbours algorithm.

We can use the nearest neighbour algorithm for classification too. This python notebook explains how to perform the k-Nearest Neighbours algorithm.
Learn how to monitor microservices with Prometheus. Expert-led introduction from Phil Winder.
Dr. Phil Winder
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7 minMonitoring != Logging != Tracing. Learn the differences between these three fundamental cloud-native concepts. Find out the uses cases for each technology.
Dr. Phil Winder
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2 min
What is meant by a complex model? What does overfitting mean? All these questions are answered in this intuitive Python workshop.

A python notebook demonstrating the use of support vector machines.

Logistic regression is very useful for producing probability estimates for classification. This simple workshop shows you how.

We can also use linear models for classification purposes. Find out how in this workshop.

This workshop describes how you can perform regression when you are plagued by outliers.

An introduction to regression with Python and SKLearn

A Python workshop showing you why we need to optimise using gradient descent and provides a simple example.
Case studies and industry analysis from our team. No hype, roughly monthly.