Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...

Discover how to prepare for a career in data science with key skills, trends, and strategies tailored for 2025 and beyond.

Implement Linear Regression in Python from Scratch ! 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 ...

In this paper, we propose a novel path loss model based on multi-dimensional Gaussian process regression (GPR) that gives spatial consistency to channels in propagation environment by predicting local ...

Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet ...

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be a ...

A targeted resource for mastering Scikit-Learn, featuring practice problems, code examples, and interview-focused machine learning concepts in Python. Covers model building, evaluation, and ...

Abstract: Model-predictive control (MPC) is becoming increasingly popular in addressing the consensus problem of multiagent systems (MASs) due to its ability to manage constraints in a multivariable ...

Specification Curve is a Python package that performs specification curve analysis: exploring how a coefficient varies under multiple different specifications of a statistical model.

xkcd #2048 is exceptionally relevant to this. Doing linear regression well with a big dataset is difficult! I do this all the time at work and honestly I often show a scatter plot without any ...