Publications by Habib Khan
Data 624 - HW 7
Exercise 6.2 knitr::include_graphics('6-1.png') (a) library(AppliedPredictiveModeling) data(permeability) summary(permeability) ## permeability ## Min. : 0.06 ## 1st Qu.: 1.55 ## Median : 4.91 ## Mean :12.24 ## 3rd Qu.:15.47 ## Max. :55.60 This matrix contains the 1107 binary molecular predictors for the 165 com...
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Data 624 - HW9
library(caret) library(mlbench) library(randomForest) library(party) library(dplyr) library(gbm) library(Cubist) Exercise 8.1 Recreate the simulated data from Exercise 7.2: set.seed(200) simulated <- mlbench.friedman1(200, sd = 1) simulated <- cbind(simulated$x, simulated$y) simulated <- as.data.frame(simulated) colnames(simulated)[nco...
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Data 621 - Blog 2
A usage of Paired-Sample t-test In this blog, I am going to talk about usage of paired sample t-test. It is a very useful tool especially in the situations where you have to calculate any improvements let’s say if marketing promotion caused in increase of sales where you check the average sales before and after marketing promotion. In this blog...
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Data 621 - Blog 1
tidyverse - An Amazing Tool for Quick Aggregation In this blog, I am going to talk about how R’s tidyverse comes handy especially for Ad-hoc reports. I have been using tidyverse for creating ad-hoc reports where I get the raw data from database and create amazing graphs and aggregation with ggplot2 and dplyr. In this example I am going to show ...
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Data 621 - Blog 4
Partial Least Squares In this blog, I am going to discuss what Partial Least Square is and how it is useful in some as a better regression techinque. PLS regression is a regression technique which reduces the predictors to the smalelr set of uncorrelated items. This technique is very beneficial when there is high multicollinearity among the predi...
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