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 ...

A python library to build Model Trees with Linear Models at the leaves. linear-tree provides also the implementations of LinearForest and LinearBoost inspired from these works.

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 ...

1. Linear Regression The objective of a linear regression model is to find a relationship between one or more features (independent variables) and a continuous target variable (dependent variable).

More than two Categories possible with ordering. Real-world Example with Python: Now we’ll solve a real-world problem with Logistic Regression. We have a Data set having 5 columns namely: User ID, ...

Lesson 9 Simple Linear Regression The purpose of this tutorial is to continue our exploration of multivariate statistics by conducting a simple (one explanatory variable) linear regression analysis.

8.2. Linear regression with a single explanatory variable There are many ways to do linear regression in Python. We have already used the heavyweight Statsmodels library, so we will continue to use it ...

The linear regression model generates numbers that are mostly in the interval between 0.0 and 1.0, but not entirely. Achieving harmony between model and data uses ordinary least squares regression to ...