A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

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 ...

Learn to perform linear regression analysis using Python and enhance your data science skills with this step-by-step guide.

Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and user ...

Several programming languages, such as Python or R, can be used to calculate the line of best fit in a more versatile and customizable way. These languages have dedicated statistical libraries (e.g., ...

Despite recent breakthroughs in the formulation and fitting of interpretable models, implementations are frequently challenging to locate, utilize, and compare. imodels solves this void by offering a ...

A predictive statistical correlation and relationship between the wear rate and the hardness was carried out. A linear and quadratic polynomial regression machine learning details of the factors ...