Stock-Market Prediction using Neural Networks for Multi-Output Regression in Python

This article showcases multi-output neural networks for time-series regression and demonstrates their use in the context of stock market forecasting. We will train and test a Keras neural network with ten output neurons using historical price quotes for Apple stock. … 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

Correlation Matrix in Python: How Correlated are COVID-19 Cases and Different Financial Assets?

Since the sudden emergence of COVID-19, global financial markets have experienced turbulent times. After the markets initially experienced a sharp slump at the beginning of 2020a rapid (V-shaped) recovery led to new record highs at the end of the year. … Continued

Accessing Remote Data Sources via REST APIs in Python

REST APIs provide straightforward access to remote data sources. It is therefore essential for data scientists to understand how they work and how to use them. This article briefly describes how to access remote data sources via REST APIs in … Continued