The Neural Prophet model is relatively new and was heavily inspired by Facebook’s earlier Prophet time series forecasting model. NeuralProphet is a neural network based model that uses a PyTorch...
Product recommender systems, or recommendation systems, as they’re also known are ubiquitous on e-commerce websites these days. They’re relatively simple to create and even fairly basic ones can give striking...
Major internet retailers, like Walmart and Amazon, have been at the forefront of ecommerce data science and data analytics for many years, contributing lots of interesting papers to data science...
While reporting is often quite a useful way to stay on top of your data, it’s also something you can automate to save time, even if your reports include custom...
Like most people who work in ecommerce and marketing, I spend a lot of time in Google Analytics. It’s a great tool, but when reporting on the numbers, it helps...
Customer segmentation can give you huge insights into your business and identify a whole range of different things about your customers, allowing you to change your marketing and improve results....
There’s often a lot of faffing around required to get marketing and ecommerce data from various systems into Pandas so you can analyse it, or use it within more complex...
Outliers, or anomalies, can impact the accuracy of both regression and classification models, so detecting and removing them is an important step in the machine learning process. On larger datasets,...
K means is one of the most widely used algorithms for clustering data and falls into the unsupervised learning group of machine learning models. It’s ideal for many forms of...
