This repository contains a Python implementation of a Kernel Ridge Regression (KRR) model trained on data from surface hopping dynamics simulations starting from the S1 excited state. The simulation ...

The Jupyter notebook integrates supervised and unsupervised learning approaches: Polynomial basis function modeling and ridge regression ... ML pipeline in Python without high-level frameworks (e.g., ...

In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code behind the linear regression in python. Your Lane to ...

Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...