Publications by Dennis Pong
Data 605 Discussion 11
Code Show All Code Hide All Code Data 605 Discussion 11 Data 605 Discussion 11 Chemical Manufacturing Process Data Description Loading the data… Prediction Results on the test set Checking on assumptions Further Research Dennis Pong 2020-11-03 I’m using ChemicalManufacturingProcess from the package AppliedPredictiveModeling. Chemic...
2991 sym R (9779 sym/17 pcs) 1 img
Data 624 Homework 7
Code Show All Code Hide All Code Data 624 HW 7 Data 624 HW 7 6.2 (a) (b) (c) (d) (e) (f) 6.3 (a) (b) (c) (d) (e) (f) 2020-11-01 library(knitr) library(rmdformats) ## Global options options(max.print="85") opts_chunk$set(cache=TRUE, prompt=FALSE, tidy=TRUE, comment=NA, message...
4975 sym R (5820 sym/43 pcs) 6 img
Data 605 HW10
Code Show All Code Hide All Code Data 605 HW10 Data 605 HW10 Central Theme of the Week Random Walk (a) he bets 1 dollar each time (timid strategy). (b) he bets, each time, as much as possible but not more than necessary to bring his fortune up to 8 dollars (bold strategy). (c) Which strategy gives Smith the better chance of getting out of j...
2475 sym R (1171 sym/9 pcs) 1 img
Data 605 HW11
Code Show All Code Hide All Code Data 605 HW 11 Data 605 HW 11 Create a linear model Dennis Pong 2020-11-03 library(knitr) library(rmdformats) ## Global options options(max.print="85") opts_chunk$set(cache=TRUE, prompt=FALSE, tidy=TRUE, comment=NA, message=FALSE, ...
1359 sym R (4226 sym/31 pcs) 10 img
Data 624 Homework 8
Code Show All Code Hide All Code Data 624 HW 8 Data 624 HW 8 7.2 KNN Model MARS Model SVM Model Neural Network Model Performance Evaluation 7.5 (a) (b) (c) Dennis Pong 2020-11-08 library(knitr) library(rmdformats) ## Global options options(max.print="85") opts_chunk$set(cache=TRUE, prompt=FALSE, tidy=TRU...
3566 sym R (15996 sym/56 pcs) 2 img
Data 605 Discussion 12
Code Show All Code Hide All Code Data 605 Discussion 12 Data 605 Discussion 12 A primer on multiple regression Loading the data from a csv 1. Independence of observations (aka no autocorrelation) 2. Normality 3. Linearity 4. Homoscedasticity Let’s go back to checking Homoscedasticity Plotting the model Predict the values of heart disease ...
3515 sym R (3790 sym/28 pcs) 9 img
Data 605 Discussion 13
Code Show All Code Hide All Code Data 605 Discussion 13 Data 605 Discussion 13 Problem Statement Data Exploration Fitting a linear regression model Dependent variable Independent Variables Fit a model that has an interaction term and a quadratic term Interpreting the coefficients Checking for assumptions Residual Analysis Conclusion 2020...
5788 sym R (7572 sym/19 pcs) 3 img
Discussion 14 Ch. 7.1.14
Problem Using R, provide the solution for any exercise in either Chapter 4 or Chapter 7 of the calculus textbook. If you are unsure of your solution, post your concerns. Ex. 7.1.14 (Text: Apex Calculus by Hartman) Find the total area enclosed by the functions f and g. \(f(x) = x^2 - 3x + 2, \space g(x) = -3x + 3\) Ans: https://www.mathsisfun.c...
666 sym R (341 sym/3 pcs) 2 img
Data605 HW 13
Code Show All Code Hide All Code Data 605 HW 13 Data 605 HW 13 #1 #2 #3 #4 #5 #6 #7 Dennis Pong 2020-11-26 library(knitr) library(rmdformats) ## Global options options(max.print="85") opts_chunk$set(cache=TRUE, prompt=FALSE, tidy=TRUE, comment=NA, message=FALSE, ...
4042 sym R (673 sym/5 pcs) 1 img
Data 605 HW 14
Code Show All Code Hide All Code Data 605 HW 14 Data 605 HW 14 #1 #2 #3 Dennis Pong 2020-11-27 library(knitr) library(rmdformats) ## Global options options(max.print="85") opts_chunk$set(cache=TRUE, prompt=FALSE, tidy=TRUE, comment=NA, message=FALSE, warning=FALS...
2021 sym R (270 sym/1 pcs)