Publications by Shams Tabrez
Algo II HW2
str(Auto) ## 'data.frame': 392 obs. of 9 variables: ## $ mpg : num 18 15 18 16 17 15 14 14 14 15 ... ## $ cylinders : num 8 8 8 8 8 8 8 8 8 8 ... ## $ displacement: num 307 350 318 304 302 429 454 440 455 390 ... ## $ horsepower : num 130 165 150 150 140 198 220 215 225 190 ... ## $ weight : num 3504 3693 3436 3433 3...
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Bank Marketing Case Study1
Install packages and load libraries, Load bank additional csv, remove missing values, remove duration column, change variables as factor, recode pdays, assign train test split. summary(bank_train) ## age job marital education ## Min. :18.00 admin. :814 divorced: 360 basic.4y ...
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Algo II HW1
#install.packages("ISLR") library(ISLR) data("College") Question 8a,b college<- read.csv("college.csv", header = T) #fix(college) #rownames(college)<-college[,1] #college<-college[,-1] #fix(college) Question8c summary(college) ## X Private Apps Accept ## Length:777 Length:777 Min...
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Dow Jones Case Study
Read Dow Jones Data file into dataframe dow = read.table("dow_jones_index.data", sep = ",", header = TRUE) str(dow) ## 'data.frame': 750 obs. of 16 variables: ## $ quarter : int 1 1 1 1 1 1 1 1 1 1 ... ## $ stock : chr "AA" "AA" "AA" "AA" ... ## $ date : c...
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Homework4
Chapter 05 (page 197): 3, 5, 6, 9 Q3 A) K-fold divides the dataset into k number of folds. For example, if k=3 then the dataset will be divided into 3 samples. One of the samples will be held for testing purposes and the other samples will be used to train the model. After the model is trained the next sample is used for testing and the rest fo...
2086 sym R (8697 sym/37 pcs)
Algo II HW3
Homework 3 Question 10A. week = Weekly summary(week) ## Year Lag1 Lag2 Lag3 ## Min. :1990 Min. :-18.1950 Min. :-18.1950 Min. :-18.1950 ## 1st Qu.:1995 1st Qu.: -1.1540 1st Qu.: -1.1540 1st Qu.: -1.1580 ## Median :2000 Median : 0.2410 Median : 0.2410 Median : ...
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BookBinders Case Study using R
Load Libraries Read train and test dataset bbbc_train = read_excel("BBBC-Train.xlsx")[2:12] bbbc_test = read_excel("BBBC-Test.xlsx")[2:12] Check structure of train dataset str(bbbc_train) ## tibble [1,600 × 11] (S3: tbl_df/tbl/data.frame) ## $ Choice : num [1:1600] 1 1 1 1 1 1 1 1 1 1 ... ## $ Gender : num [1:1600] 1 1 1 1 ...
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Algo II Homework5
Question 2, 9, 11, Q2) A) III is correct option. Increase lambda, variance is reduced significantly and bias is reduced marginally. MSE get reduced and accuracy also increases. When we compare ridge with Lasso we allow some coefficients to go to zero when lambda is large. And it also uses variables selection for better interpreting results. B)...
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Dow Jones Case Study3
Dow Jones Case Study - Predicting percentage change in stock on various predictors using linear model, decision tree and SVM(radial kernel) Load dow jones data and check first few rows data using head() dow_jones <- read.csv("dow_jones_index.data", header = TRUE) head(dow_jones) ## quarter stock date open high low close volume ...
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FundRaising Prediction Donor or No Donor
Business Objectives and Goals The main objective of this analysis is to reduce the overall cost of advertising and maximize profits from donors for the national veterans organization. Following are the goals to achieve: Find people who will be doners Lower the amount of gift/label sent Increase overall response rate Data Sources and Data Used F...
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