Search for tag: "regression"

Successfully Evaluating Predictive Modelling Trailer

Our free short online course, Successfully Evaluating Predictive Modelling will help you gain an in-depth understanding of evaluation and sampling approaches for effective predictive modelling using…

From  Laurie Bowman on March 19th, 2021 0 likes 2 plays 0  

EEA 2021 - Linear Regression

Lecture for linear regression and non-parametric equivalent.

From  Kyle Dexter on March 4th, 2021 0 likes 38 plays 0  

UK-APASI in Mathematical Sciences: Jasmina Panovska-Griffiths (Lecture 4)

Subtitles will be added soon. Tuesday 23 February 2021 UK-APASI in Mathematical Sciences Jasmina Panovska-Griffiths - Statistical analysis to identify risks groups of COVID-19 and to explore…

From  Liam Holligan on February 23rd, 2021 0 likes 10 plays 0  

Agnieszka Borowska (Glasgow): Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis

Agnieszka Borowska (Glasgow): Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis Chemotaxis is…

From  OLLIE Quinn on February 4th, 2021 0 likes 11 plays 0  

FDS-S2-02-2-5 Maximum likelihood estimation of logistic regression coefficients

We introduce the principle of maximum likelihood, and show how to derive the likelihood as a function of the coefficients for logistic regression. We also mention one topical application of logistic…

From  David Sterratt on January 20th, 2021 0 likes 125 plays 0  

FDS-S2-02-2-4 The logistic regression classifier

We show how to make a logistic regression classifier, and, in the context of ethics, consider how transparent logistic regression can be made to people whose lives it affects. We also compare…

From  David Sterratt on January 20th, 2021 0 likes 133 plays 0  

FDS-S2-02-2-3 Multiple logistic regression and confidence and intervals

We extend logistic regression to multiple independent variables, and show how we can use the boostrap to estimate confidence intervals for coefficients, and to test hypotheses.

From  David Sterratt on January 20th, 2021 0 likes 147 plays 0  

FDS-S2-02-2-1 Principle of logistic regression

We introduce the principle of logisitc regression, illustrating its application to a credit approval dataset. We also introduce the concepts of odds and odds ratios.

From  David Sterratt on January 19th, 2021 0 likes 184 plays 0  

FDS-S2-01-2-7 Bootstrap confidence intervals

We introduce the bootstrap method of estimating confidence intervals

From  David Sterratt on January 15th, 2021 0 likes 147 plays 0  

NLU+ Lecture 5: Feed Forward Neural Networks

Feed Forward Neural Networks

From  Ruairi O'Hare on December 29th, 2020 0 likes 7 plays 0  

USMR lecture 10 part 3

how to analyse and write up (RStudio)

From  Martin Corley on November 27th, 2020 0 likes 266 plays 0  

USMR lecture 10 part 1

ANOVA vs GLM

From  Martin Corley on November 27th, 2020 0 likes 116 plays 0  

IDS - Week 09 - Code along

Code along for Week 09

From  Mine Cetinkaya-Rundel on November 19th, 2020 0 likes 10 plays 0  

IDS - Week 09 - 02 - Logistic regression

Predicting binary outcomes with logistic regression

From  Mine Cetinkaya-Rundel on November 16th, 2020 0 likes 22 plays 0  

IDS - Week 09 - 01 - Keeping up with IDS

Keeping up with IDS - Week 09

From  Mine Cetinkaya-Rundel on November 16th, 2020 0 likes 13 plays 0  

IDS - Week 08 - 05 - Models with multiple predictors

Linear regression with multiple predictors

From  Mine Cetinkaya-Rundel on November 11th, 2020 0 likes 19 plays 0