If you regularly work with time series data in Pandas it’s probable that you’ll sometimes need to convert dates or datetimes and extract additional features from them.
Pandas allows you to import data from a wide range of data sources directly into a dataframe. These can be static files, such as CSV, TSV, fixed width files, Microsoft...
Transactional item data can be used to create a number of other useful datasets to help you analyse ecommerce products and customers. From the core list of items purchased you...
Time series forecasting models are notoriously tricky to master, especially in ecommerce, where you have seasonality, the weather, marketing promotions, and holidays to consider. Not to mention pandemics.
The predictive response models used to help identify customers in marketing can also be used to help outbound sales teams improve their call conversion rate by targeting the best people...
Linear regression models are widely used in every industry. They predict a number from a range of other features based on a linear relationship between the input variables (X) and...
The things we search for online can reveal a remarkable amount about us, even when viewed in aggregate on an anonymous level. For many years, Google has made some of...
Image hashing (or image fingerprinting) is a technique that is used to convert an image to an alphanumeric string. While this might sound somewhat pointless, it actually has a number...
As everyone who works in ecommerce will know, stock-outs on your key lines can have a massive negative impact on sales and your marketing costs. In many cases, you’ll be...
