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

multi-output neural networks time series regression

Neural networks can generate various outputs, which is especially useful in time-series forecasting to forecast longer periods. In time series regression, the number of neurons in the final output layer determines how many steps in a time series the model can predict. Models with one output return single-step forecasts. Models … Read more

Image Classification with Convolutional Neural Networks – Classifying Cats and Dogs in Python

image classification convolutional neural networks python tutorial

This tutorial 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. There are nearly endless applications, from self-driving cars over biometric security to automated … Read more

Feature Engineering for Multivariate Stock Market Prediction with Python

feature engineering for stock market prediction, multivariate time series modelling

Multivariate forecasting models do not rely exclusively on historical time series data but use additional features (multivariate = multiple input variables) such as moving averages or momentum indicators. The underlying assumption is that various variables increase the accuracy of a forecast by helping the model identify patterns in the historical … Read more