Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

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 ...

The MAE was 3.31, 3.73, and 3.66, respectively. “Regarding computing time, the algorithm completed 25 iterations within 0.175 hours per execution.

The Data Science Lab Random Forest Regression and Bagging Regression Using C# Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression ...

In this work, we seek the relationship between the order of the polynomial model and the number of knots and intervals that we need to fit the splines regression model. Regression models (polynomial ...

Polynomial Regression and Other Variants: Polynomial regression conveys the relationship between the dependent and independent variables as an nth degree polynomial—for example, ax².

Over the past years, solar activity has extremely impacted the Earth’s environment and human society. With a view to getting a better understanding about the characteristics and trends of solar ...

This is the final year project of Big Data Programming in Python. COVID-19 cases data processed, manipulated, transformed and applied polynomial feature of linear regression in Python.COVID-19 cases ...

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn) pwtools ...