I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

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

This article explains how to create and use kernel ridge regression (KRR) models. Compared to other regression techniques, KRR is especially useful when there is limited training data. There are ...

Arguably the most powerful regression technique is a neural network model. There are several tools and code libraries that you can use to create a neural network regression model. The scikit-learn ...

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 ...

Build Logistic Regression From Scratch In Python – You Won'T Believe How Easy It Is! Posted: 15 May 2025 | Last updated: 21 May 2025.