Building a Movie Recommender using Collaborative Filtering in Python

Intelligent recommender systems rank among the fascinating use cases for machine learning. Such systems are used extensively by many of the major tech companies to personalize the selection of user content shown to their customers. In this article, we will … Continued

Feature Engineering for Multivariate Time Series Prediction with Python

Multivariate time series forecasting models often do not rely exclusively on historical time series data but use additional features such as moving averages or momentum indicators. The underlying assumption is that multiple variables increase the accuracy of a forecast by … Continued