Neural networks have emerged as a pivotal tool in the prediction of financial market trends, offering novel approaches that complement and, in several cases, exceed the capabilities of traditional ...

Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs ...

The project aims to use text mining (Natural Language techniques) to predict stock market momentum and time-series data to further improve the accuracy of prediction. The time series model will use ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any ...