It will give students hands-on experiences using openMP, MPI and CUDA to write highly optimized code for modern multi-core processors ... Naive Bayes classifiers, linear regression, logistic ...

Learn how to implement Logistic Regression from scratch in Python with this simple, easy-to-follow guide! Perfect for beginners, this tutorial covers every step of the process and helps you understand ...

The aim of the course is to make the participants familiar with advanced statistical regression methods applied to clinical research and epidemiology. This will give the participants a better basis ...

This project demonstrates how to implement simple linear regression from scratch using Python, without relying on libraries like Scikit-Learn. The implementation includes data preprocessing, model ...

However, to my best of knowledge, there are few examples to utilize the P-Code for automating reverse-engineering tasks. This repository gathers the practical P-Code examples. I'm currently exploring ...

To this end, we applied a time-resolved decoding analysis. For each participant, we trained a one-versus-rest Lasso logistic regression model using the functional localizer data to classify the neural ...

In India’s changing fabric of the world of labor, the Industrial Relations Code of 2020 embodies the shift paradigm by which working place relations come to be managed and regulated. This ...