Regression analysis

Polynomial regression

In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable y is modelled as an nth degree polynomial in x. Polynomial regression fits a nonlinear relationship between the value of x and the corresponding conditional mean of y, denoted E(y |x). Although polynomial regression fits a nonlinear model to the data, as a statistical estimation problem it is linear, in the sense that the regression function E(y | x) is linear in the unknown parameters that are estimated from the data. For this reason, polynomial regression is considered to be a special case of multiple linear regression. The explanatory (independent) variables resulting from the polynomial expansion of the "baseline" variables are known as higher-degree terms. Such variables are also used in classification settings. (Wikipedia).

Polynomial regression
Video thumbnail

Linear regression

Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.

From playlist Learning medical statistics with python and Jupyter notebooks

Video thumbnail

Polynomial regression

This video is part of a full course on statistics and machine-learning. The full course includes 35 hours of video instruction, tons of Python and MATLAB code, and access to the Q&A forum. More information available here: https://www.udemy.com/course/statsml_x/?couponCode=202006 For a co

From playlist Statistics and machine learning

Video thumbnail

An Introduction to Linear Regression Analysis

Tutorial introducing the idea of linear regression analysis and the least square method. Typically used in a statistics class. Playlist on Linear Regression http://www.youtube.com/course?list=ECF596A4043DBEAE9C Like us on: http://www.facebook.com/PartyMoreStudyLess Created by David Lon

From playlist Linear Regression.

Video thumbnail

Linear Regression Using R

How to calculate Linear Regression using R. http://www.MyBookSucks.Com/R/Linear_Regression.R http://www.MyBookSucks.Com/R Playlist http://www.youtube.com/playlist?list=PLF596A4043DBEAE9C

From playlist Linear Regression.

Video thumbnail

Is it a polynomial with two variables

👉 Learn how to determine whether a given equation is a polynomial or not. A polynomial function or equation is the sum of one or more terms where each term is either a number, or a number times the independent variable raised to a positive integer exponent. A polynomial equation of functio

From playlist Is it a polynomial or not?

Video thumbnail

Classify a polynomial then determining if it is a polynomial or not

👉 Learn how to determine whether a given equation is a polynomial or not. A polynomial function or equation is the sum of one or more terms where each term is either a number, or a number times the independent variable raised to a positive integer exponent. A polynomial equation of functio

From playlist Is it a polynomial or not?

Video thumbnail

Learn how to identify if a function is a polynomial and identify the degree and LC

👉 Learn how to determine whether a given equation is a polynomial or not. A polynomial function or equation is the sum of one or more terms where each term is either a number, or a number times the independent variable raised to a positive integer exponent. A polynomial equation of functio

From playlist Is it a polynomial or not?

Video thumbnail

Ex: Comparing Linear and Exponential Regression

This video provides an example on how to perform linear regression and exponential regression on the TI84. The best model is identified based up the value of R^2. Site: http://mathispower4u.com Blog: http://mathispower4u.wordpress.com

From playlist Solving Applications Using Exponential Equations / Compounded and Continuous Interest / Exponential Regression

Video thumbnail

(ML 9.2) Linear regression - Definition & Motivation

Linear regression arises naturally from a sequence of simple choices: discriminative model, Gaussian distributions, and linear functions. A playlist of these Machine Learning videos is available here: http://www.youtube.com/view_play_list?p=D0F06AA0D2E8FFBA

From playlist Machine Learning

Video thumbnail

Polynomial Regression Models (Part C)

Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in

From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics

Video thumbnail

Polynomial Regression Models (Part A)

Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in

From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics

Video thumbnail

Polynomial Regression Models (Part B)

Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in

From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics

Video thumbnail

Machine Learning with Scikit-Learn Python | Polynomial Linear Regression

In this video, I've explained the concept of polynomial linear regression in brief and how to implement it in the popular library known as sci-kit learn. Stay tuned, more sci-kit learn videos are coming! #scikitlearn #machinelearning #python Previous video on feature scaling - https://ww

From playlist Learn Scikit Learn

Video thumbnail

Mod-16 Lec-38 Tutorial - III

Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in

From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics

Video thumbnail

Lecture: Regression 2018-09-20

Regression by multiple methods

From playlist Lectures

Video thumbnail

10c Machine Learning: Polynomial Regression

Lecture on polynomial regression, including an intuitive alternative interpretation, basis expansion concepts and orthogonal basis through Hermite polynomials. Follow along with the demonstration workflow: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/SubsurfaceDataAnaly

From playlist Machine Learning

Video thumbnail

Regularization 2

Examples of regularization.

From playlist Regularization

Video thumbnail

Lecture 03-02 Regularization

Machine Learning by Andrew Ng [Coursera] 0308 The problem of overfitting 0309 Cost function 0310 Regularized linear regression 0311 Regularized logistic regression

From playlist Machine Learning by Professor Andrew Ng

Video thumbnail

Determining if a function is a polynomial or not then determine degree and LC

👉 Learn how to determine whether a given equation is a polynomial or not. A polynomial function or equation is the sum of one or more terms where each term is either a number, or a number times the independent variable raised to a positive integer exponent. A polynomial equation of functio

From playlist Is it a polynomial or not?

Related pages

Smoothing | Smoothing spline | Regression analysis | Statistics | Gauss–Markov theorem | Estimation theory | Design of experiments | Polynomial interpolation | Parameter | Polynomial | Radial basis function | Statistical classification | Nonparametric regression | Response surface methodology | Vandermonde matrix | Least squares | Bias of an estimator | Weighted least squares | Statistical inference | Adrien-Marie Legendre | Variance | Estimation | Ordinary least squares | Linear regression | Polynomial and rational function modeling | Scalar (mathematics) | Infinitesimal | Spline (mathematics) | Basis function | Orthogonal polynomials | Conditional expectation | Curve fitting | Wavelet | Optimal design | Total derivative