Getting started with Image Recognition: Classifying Cats and Dogs

This article kicks off a new blog series on image recognition and classification with Convolutional Neural Networks (CNNs). CNNs belong to the field of deep learning, a subarea of machine learning, and have become a cornerstone to many exciting innovations … Continued

Anyone About to Leave? Predicting Customer Churn of a Telecommunications Provider

Telecommunications service providers face considerable pressure to expand and retain their subscriber base. One of the biggest cost factors are customers cancelling their contracts. Innovative service providers therefore have learned to use machine learning to predict which of their customers … Continued

Hyperparameter Tuning of a Random Forest Classifier using Grid Search in Python

The functionality of machine learning models can be controlled with their hyperparameters. The choice of these parameters often has a significant impact on model performance and, in practice, can make the difference between sufficient and outstanding performance. Data scientists therefore … Continued

Will they Buy or just Browse? Predicting Purchase Intentions of Online Shoppers with Python

Many online stores welcome countless visitors every day, but only a fraction of those visitors will actually make a purchase. In this blog, I show how you can use machine learning to predict whether a customer is just browsing the … Continued

Predicting Flight Delays using Azure Machine Learning

If you travel a lot, you’ve probably already experienced this – you’re in a total hurry on your way to the airport trying to catch a flight, only to find out at the airport that your flight is delayed anyway. … Continued