Publications by Natalie Kalukeerthie
Hw_8_Data_624
R Markdown library(kernlab) library(ggplot2) ## ## Attaching package: 'ggplot2' ## The following object is masked from 'package:kernlab': ## ## alpha library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ...
2374 sym R (26774 sym/77 pcs) 7 img
Hw_10_Data_624
R Markdown library(AppliedPredictiveModeling) library(mlbench) library(ggplot2) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(corrplot) ## corrplo...
4343 sym R (25701 sym/68 pcs) 8 img
Project_1_Data_624
R Markdown library(readxl) library(fpp3) ## Registered S3 method overwritten by 'tsibble': ## method from ## as_tibble.grouped_df dplyr ## ── Attaching packages ──────────────────────────────────────────── fpp3 1.0.0 ── ## ✔ tibbl...
6544 sym R (30020 sym/176 pcs) 42 img
Hw_6_Data_624
R Markdown library(AppliedPredictiveModeling) library(mlbench) library(ggplot2) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(corrplot) ## corrplo...
7791 sym R (12387 sym/88 pcs) 32 img
Hw_5_Data_624
R Markdown library(AppliedPredictiveModeling) library(mlbench) library(ggplot2) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(corrplot) ## corrplo...
6548 sym R (11918 sym/67 pcs) 13 img
Hw_4_Data_624
R Markdown 3.1. The UC Irvine Machine Learning Repository6 contains a data set related to glass identification. The data consist of 214 glass samples labeled as one of seven class categories. There are nine predictors, including the refractive index and percentages of eight elements: Na, Mg, Al, Si, K, Ca, Ba, and Fe. The data can be accessed...
4026 sym R (3234 sym/19 pcs) 6 img
HW_3_Data_624
1. Produce forecasts for the following series using whichever of NAIVE(y), SNAIVE(y) or RW(y ~ drift()) is more appropriate in each case: library(fpp3) ## Registered S3 method overwritten by 'tsibble': ## method from ## as_tibble.grouped_df dplyr ## ── Attaching packages ─────────────────...
2264 sym R (7937 sym/54 pcs) 20 img
Hw_3_Data_624
1. Consider the GDP information in global_economy. Plot the GDP per capita for each country over time. Which country has the highest GDP per capita? How has this changed over time? library(fpp3) ## Registered S3 method overwritten by 'tsibble': ## method from ## as_tibble.grouped_df dplyr ## ── Attaching packages ──�...
2720 sym R (11663 sym/46 pcs) 23 img
HW_2_Data_624
1. Explore the following four time series: Bricks from aus_production, Lynx from pelt, Close from gafa_stock, Demand from vic_elec. #loading Packages library(fpp3) ## Registered S3 method overwritten by 'tsibble': ## method from ## as_tibble.grouped_df dplyr ## ── Attaching packages ────────────�...
3472 sym R (9060 sym/61 pcs) 22 img
Discussion 4 Data 607
Assignment – System Recommender Perform a Scenario Design analysis as described below. Consider whether it makes sense for your selected recommender system to perform scenario design twice, once for the organization (e.g. Amazon.com) and once for the organization’s customers. 1. Identify a recommender system web site For this assignment, I...
4749 sym