Getting Started with Image Recognition: Classifying Cats and Dogs using Neural Networks with Python

This article shows how to use Convolutional Neural Networks (CNNs) in Python for image classification. CNNs belong to the field of deep learning, a subarea of machine learning, and have become a cornerstone to many exciting innovations of our time. … 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

Stock Market Prediction using Multivariate Time Series and Recurrent Neural Networks in Python

Time series forecasting has become a popular domain for applying deep learning technologies and recurrent neural networks in recent years. Regression models based on recurrent neural networks can recognize patterns in large data sets and thus make more accurate predictions … Continued

Evaluate the Performance of Time Series Forecasting Models with Python

The evaluation of the prediction quality is a crucial step in the development of regression models. To evaluate regression models, we measure the deviation between predictions and actual values in numerical terms. Therefore, unlike classification models, regression models allow for … Continued

Rolling Time Series Forecasting: Creating a Multi-Step Prediction for a Rising Sine Curve using Neural Networks in Python

We can solve many time forecasting problems by looking at a single step into the future. However, some forecasting problems require us to understand how a signal will develop over a more extended period so that it is not enough … Continued

Stock Market Prediction – Adjusting Time Series Prediction Intervals in Python

In a previous article on stock market forecasting, we have created a forecast for the S&P500 stock market index using a neural network and Python. The prediction interval used in this previous article was a single day. However, many time-series … Continued

Stock Market Prediction using Univariate Time Series Models based on Recurrent Neural Networks with Python

Predicting the price of financial assets has fascinated researchers and analysts for many decades. While the traditional prediction methods of technical analysis and fundamental analysis are still widely used, interest is increasingly turning to machine-generated predictions based on deep learning. … Continued