Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

We study the decentralized online regularized linear regression algorithm over random time-varying graphs. At each time step, every node runs an online estimation algorithm consisting of an innovation ...

Summary SymINDy is a new algorithm for the reconstruction of non-linear dynamics. It uses symbolic regression and SINDy algorithm to recover the systems of equations from time-series observations. It ...

Linear regression is one of the first algorithms taught to beginners in the field of machine learning. Linear regression helps us understand how machine learning works at the basic level by ...

# Document each step of the code to demonstrate you understand what each line of code does. The code has to describe the steps of the linear regression model. # For your algorithm, you may use basic ...

We ran five different machine learning algorithms: Decision Tree, K Nearest Neighbours, Linear Regression, Random Forest and Support Vector Regression.