For Intermediate 44: Scikit-learn 41:Supervised Learning 19: Generalized Linear Regression
The video discusses the background for Generalized Linear Models followed by a coding example using scikit-learn in Python. Timeline (Python 3.8) 00:00 ...
learndataa
LNT (Linear Non-Threshold) Dose Response Model for Cancer Risk Assessment - Dr. Edward Calabrese
Historical Foundations of the Linear Non-Threshold Dose Response Modle for Cancer Risk Assessment was presented by Dr. Edward J. Calabrese (Ph.D.), ...
Thorium Remix
Probabilistic ML - Lecture 14 - Generalized Linear Models
This is the fourteenth lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2020 at the University of Tübingen. Time-stamped ...
Tübingen Machine Learning
10 Linear Models for Regression: Data Preprocessing and Transformation
Course material: https://github.com/DrWaleedAYousef/Teaching.
FCIH OCW
Analyze portfolio performance with linear regression in Excel | Financial Modeling Tutorials
A financial modeling tutorial on analyzing portfolio performance with single-variable linear regression in Excel of an active portfolio and benchmark return using ...
FactorPad
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs
Z. Cong, L. Chu, L. Wang, X. Hu, and J. Pei. “Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution”.
J. Pei
Machine learning - Maximum likelihood and linear regression
Maximum likelihood and linear regression. Slides available at: http://www.cs.ubc.ca/~nando/540-2013/lectures.html Course taught in 2013 at UBC by Nando de ...
Nando de Freitas
Multiple Linear Regression for Risk Modeling
Multiple linear regression is a classic statistical model often used in finance for risk modeling. In this short video our director of data science, Max Margenot walks ...
Quantopian
Statistics 101: Logistic Regression Probability, Odds, and Odds Ratio
In video two we review / introduce the concepts of basic probability, odds, and the odds ratio and then apply them to a quick logistic regression example.
Brandon Foltz
Course Review | Linear Regression, Logistic Regression, Poisson Regression, Survival Analysis
This video is a course review for SPPH 500 - Analytic Methods in Applied Epidemiology, a graduate course in The School of Population and Public Health at The ...
MarinStatsLectures-R Programming & Statistics
Fixed and random effects with Tom Reader
Describing the difference between fixed and random effects in statistical models.
University of Nottingham
Vincent Warmerdam: Winning with Simple, even Linear, Models | PyData London 2018
PyData London 2018 Simple models work. Linear models work. No need for deep learning or complex ensembles, you can often keep it simple. In this talk I'll ...
PyData
Emergency R: Linear models
This video covers the basics of fitting fixed and random effects models in R. We'll discuss interaction terms, numeric and categorical variables, and ANOVA.
Programming and Linear Algebra for Biologists
Linear model implies a correlation matrix
Mikko Rönkkö
FRM: Regression #3: Standard Error in Linear Regression
A simple (two-variable) regression has three standard errors: one for each coefficient (slope, intercept) and one for the predicted Y (standard error of regression).
Bionic Turtle
Linear Regression
Linear regression is a cornerstone of data-driven modeling; here we show how the SVD can be used for linear regression. Book PDF: ...
Steve Brunton
STATS 205 - Hierarchical Linear Models - Lecture 5 (ANCOVA; Linear model diagnostics)
1. ANCOVA with or without interactions between categorical and numerical predictors: what is the corresponding design matrix? 2. Three steps of statistical ...
JSB UCLA
Linear mixed effects models
When to choose mixed-effects models, how to determine fixed effects vs. random effects, and nested vs. crossed sampling designs. Requirements and ...
Matthew E. Clapham
Predictive Analysis Using Python | Learn to Build Predictive Models | Python Training | Edureka
#Edureka #PythonEdureka #predictiveanalysis #machinelearning #pythonprojects #pythonprogramming #pythontutorial #PythonTraining ...
edureka!
Linear classifiers (1): Basics
Definitions; decision boundary; separability; using nonlinear features.
Alexander Ihler
Software Project Management
This Lecture talks about Software Project Management.
cec
JASP - Multiple Linear Regression
Lecturer: Dr. Erin M. Buchanan Spring 2020 Finish out the regression series by checking out this video on multiple linear regression. This video follows our ...
Statistics of DOOM
What is dose response, and what's a dose response model? | Andrew Maynard
What's the difference between a threshold dose response model, and a no-threshold model? And what are the limitations of each? This week Risk Bites tackles ...
Risk Bites
Lec06 : The Bootstrap, MLE and Review of Linear Models Spring 2019
Theja Tulabandhula
Artificial intelligence - Machine Learning linear model
An Artificial intelligence course using python This course is for beginners but it requires basics understanding of python programs their creation and working ...
Learnly Learn about many things
7. Value At Risk (VAR) Models
This is an applications lecture on Value At Risk (VAR) models, and how financial institutions manage market risk. License: Creative Commons BY-NC-SA More ...
MIT OpenCourseWare
Part 7: Automatic Linear Modeling (ALM)
This is best practical for identifying any independent research variables have most critical influence on research dependent variables or we can identify that ...
Veasna [偉納]Sou [蘇]
Lec 30, Linear Regression-III
This is Lecture 2, of lecture Series on Data Analytics with Python by Prof. A. Ramesh, Department of Management Studies, IIT Roorkee. This lecture is the ...
IIT Roorkee July 2018
From GLM to GBM: The Future of AI in Lending and Insurance
Insurance and credit lending are highly regulated industries that have relied heavily on mathematical modeling for decades. In order to provide explainable ...
H2O.ai
Linear admissible estimation revisited - Augustyn Markiewicz
Carams Mahe, Manipal
Data Science Full Course - Learn Data Science in 10 Hours | Data Science For Beginners | Edureka
----------Edureka Data Science Training & Certifications------------ Data Science Training using Python: http://bit.ly/2P2Qbl8 Data Science Training using R: ...
edureka!
ML 4.0 Linear Models for Classification: Overview
This lecture is an overview of Linear Models for Classification.
Hari Srihari
Kuliah 18 : Linear Regression Quality Assessment
Membahas regresi linier dan cara mengukur kualitasnya.
Data Sains & Statistika
Lecture 09 - The Linear Model II
This lecture was recorded on May 1, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
caltech
Sugar: The Bitter Truth
(1:06 - Start of Presentation) Robert H. Lustig, MD, UCSF Professor of Pediatrics in the Division of Endocrinology, explores the damage caused by sugary foods.
University of California Television (UCTV)
Linear Models in R | Linear Regression in R 7.1 | Analytics Tutorial
LinearRegressioninR #linearregressioninrstepbystep #linearregressioninrprogramming #linearregressioninrcode #linearregressioninrfromscratch ...
Imurgence Learning
How to solve Linear Programming, Risks and Uncertainty Models and IRR (Part 1 of 2)
Demo is shown on how to solve Linear programming which is used for multi-period capital rationing and its solved through an equation. Sensitivity Analysis, is ...
Sabi Akther
Goodness-of-fit for a linear model
Quantifying goodness-of-fit for a linear regression model using the coefficient of determination (r-squared).
Joshua French
Linear Regression Using Least Squares Method - Line of Best Fit Equation
This statistics video tutorial explains how to find the equation of the line that best fits the observed data using the least squares method of linear regression.
The Organic Chemistry Tutor
Non-Linear and Threshold Regression Analysis | Siong Hook Law
Research Workshop Series #3 Title: Non-Linear and Threshold Regression Analysis Speaker: Prof. Siong Hook Law (Editor in Chief of International Journal of ...
Fakultas Ekonomika dan Bisnis UGM
Excel Linear Regression with Real World Examples for Science
Excel Linear Regression with Real World Examples for Science How to Use Excel Simple Linear Regression Analysis (aka "Insert Trendline") This Quick Trainer ...
DataResearchLabs
Linear Regression Heteroscedasticity Fix by Dependent Variable Transformation
This video discusses how to attempt to fix heteroscedasticity by transforming the dependent variable by either natural logarithm or square root.
Digital Marketing and Analytics
