A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...

Topic modeling is an unsupervised machine learning technique that automatically identifies different topics present in a document (textual data). Data has become a key asset/tool to run many ...

This repo contains pytorch implementations of several types of GANs, including DCGAN, WGAN and WGAN-GP, for 1-D signal. It was used to generate fake data of Raman spectra, which are typically used in ...

The code has been developed and tested under Linux and Mac OS X. In principle it should be possible to build and run the code on a Windows machine. However, this would require modifying the CMake ...

Real-world data complexity requires identifying strong independent variables for accurate predictions. Dimensionality reduction techniques help simplify datasets by focusing on the most effective ...