Regression models - Samenvattingen, Aantekeningen en Examens

This is a summary of a student who didn’t know anything about statistics but now understands it! It’s a summary with basic lecture notes with extra added notes to easily understand it better, screenshots and an exam preparation with the answers. Good luck! ;)

A/B Test - 1) An experiment that compares the value of a dependent variable (ex = likelihood that a website visitor purchases an item) across two different groups (control group and treatment group). Members of each group must be RANDOMLY SELECTED to ensure that the only difference between the groups is the "MANIPULATED" independent variable (ex = size of the font on two otherwise identical websites)...a hypothesis test that tests whether the means of the dependent variable are the same across...

Write a fully executed R-Markdown program and submit a pdf / word or html file performing regression task using GAM algorithms on the primary response variable in the Nutrition Case Study. Make sure to try various hyperparameter settings to find the best available models. You are required to clearly display and explain the models that were run for this task and their effect on the reduction of the Cost Function.

The main objective is to write a fully executed R-Markdown program performing regression prediction for the response variable using the best models found for LASSO, Ridge and Elastic Net techniques predicting the response variable in the Nutrition case study. Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes. You are required to clearly display and explain the models that were run for this task and their effect on the reduction of t...

when might overfitting occur - Answer- when the # of factors is close to or larger than the # of data points causing the model to potentially fit too closely to random effects Why are simple models better than complex ones - Answer- less data is required; less chance of insignificant factors and easier to interpret what is forward selection - Answer- we select the best new factor and see if it's good enough (R^2, AIC, or p-value) add it to our model and fit the model with the current set ...

The main objective is to write a fully executed R-Markdown program performing regression prediction for the response variable using the best models found for kNN, Random Forest and XGBoost techniques predicting the response variable in the Nutrition case study. Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes. You are required to clearly display and explain the models that were run for this task and their effect on the reduction of...

SOLUTIONS MANUAL for Business Statistics for Contemporary Decision Making 11th Edition by Ken Black. ISBN-13 978-8, ISBN 1351. (Chapters 1-19) _TABLE OF CONTENTS: Chapter 1 Introdu ction to Statistics Chapter 2 Charts and Graphs Chapter 3 Descriptive Statistics Chapter 4 Probability Chapter 5 Discrete Distributions Chapter 6 Continuous Distributions Chapter 7 Sampling and Sampling Distributions Chapter 8 Statistical Inference: Estimation for Single Populations Chapter 9 Statistical Inference: Hy...

Test Bank Theory and Practice of Counseling and Psychotherapy 10th Edition by Gerald Corey Table of Contents Chapter 1- Introduction and Overview ..................................................................................................... 2 Chapter 2- The Counselor: Person and Professional .............................................................................. 6 Chapter 3- Ethical Issues in Counseling Practice ........................................................................

This summary contains all material discussed in the lectures (1-13) of Machine Learning taught at the Vrije Universiteit Amsterdam to third year Business Analytics, Information Science, Computer Science and Artificial Intelligence bachelor students. It is quite extensive, contains a lot more than just theoretical formulas (I think it is hard to memorise them without knowing some background) so everything I wrote is explained with a sketch, example or some extra information that all helped me t...

ISYE 6501 Midterm Quiz 2 2023 | Intro Analytics Modeling | Questions with Correct Answers (Graded 100%) Five classification models were built for predicting whether a neighborhood will soon see a large rise in home prices, based on public elementary school ratings and other factors. The training data set was missing the school rating variable for every new school (3% of the data points). Because ratings are unavailable for newly-opened schools, it is believed that locations that have rece...