Logistic Regression - Is it Linear Regression?
Is it Linear? Why the sigmoid? Let's talk about it. Breaking Linear Regression video: https://www.youtube.com/watch?v=Bu1WCOQpBnM RESOURCES [1] Great Lecture notes to start understanding Logistic Regression: https://pages.stat.wisc.edu/~st849-1/lectures/GLMH.pdf [2] More slightly detaile
From playlist Logistic Regression
Ex: Write a Recursive and Explicit Equation to Model Linear Growth
This video provides an basic example of how to determine a recursive and explicit equation to model linear growth given P_0 and P_1. http://mathispower4u.com
From playlist Linear, Exponential, and Logistic Growth: Recursive/Explicit
Linear regression ANOVA ANCOVA Logistic Regression
In this video tutorial you will learn about the fundamentals of linear modeling: linear regression, analysis of variance, analysis of covariance, and logistic regression. I work through the results of these tests on the white board, so no code and no complicated equations. Linear regressi
From playlist Statistics
understanding of logistic regression and its cost function. all machine learning youtube videos from me, https://www.youtube.com/playlist?list=PLVNY1HnUlO26x597OgAN8TCgGTiE-38D6
From playlist Machine Learning
Solving the Logarithmic Equation log(A) = log(B) - C*log(x) for A
Solving the Logarithmic Equation log(A) = log(B) - C*log(x) for A Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys
From playlist Logarithmic Equations
PreCalculus - Logarithmic Function (1 of 23) What is an Logarithmic Function?
Visit http://ilectureonline.com for more math and science lectures! In this video I will define and give examples of logarithmic functions. Next video can be seen at: http://youtu.be/uLRiUMyDf64
From playlist Michel van Biezen: PRECALCULUS 1-5 - ALGEBRA REVIEW
LogTransformationsLinearReg.2.Log(Y) vs. X
This is part two of a four-part lecture, best accessed here: https://sites.google.com/wellesley.edu/qai-online-resources/outline/log-transformations-for-linear-regression This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed
From playlist Log Transformations for Linear Regression
Using the inverse of an exponential equation to find the logarithm
👉 Learn how to convert an exponential equation to a logarithmic equation. This is very important to learn because it not only helps us explain the definition of a logarithm but how it is related to the exponential function. Knowing how to convert between the different forms will help us i
From playlist Logarithmic and Exponential Form | Learn About
Logistic Regression Details Pt1: Coefficients
When you do logistic regression you have to make sense of the coefficients. These are based on the log(odds) and log(odds ratio), but, to be honest, the easiest way to make sense of these are through examples. In this StatQuest, I walk you though two Logistic Regression Examples, step-by-s
From playlist StatQuest
03 03 Poisson regression part 2 of 2
From playlist Coursera Regression V2
Statistical Rethinking - Lecture 13
Lecture 13 - Generalized Linear Models (intro) - Statistical Rethinking: A Bayesian Course with R Examples
From playlist Statistical Rethinking Winter 2015
Transformation and Weighting to correct model inadequacies (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
Statistical Rethinking Fall 2017 - week07 lecture12
Week 07, lecture 12 for Statistical Rethinking: A Bayesian Course with Examples in R and Stan, taught at MPI-EVA in Fall 2017. This lecture covers Chapter 10. Slides are available here: https://speakerdeck.com/rmcelreath Additional information on textbook and R package here: http://xce
From playlist Statistical Rethinking Fall 2017
Statistical Rethinking Winter 2019 Lecture 11
Lecture 11 of the Dec 2018 through March 2019 edition of Statistical Rethinking: A Bayesian Course with R and Stan. Covers Chapters 10 and 11: maximum entropy, generalized linear models.
From playlist Statistical Rethinking Winter 2019
03 02 Part 1 of 3 Logistic regression
From playlist Coursera Regression V2
Statistical Learning: 4.8 Generalized Linear Models
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet talked about linear model, generalization, and examples of disease occurring rate, prey capture rate, Kyphosis data, etc.
From playlist MIT 18.650 Statistics for Applications, Fall 2016
