Publications by Group_Project: Venkata Naga Vamsidhar reddy karasani(vkara4), Anila Cheekati(vchee3), Venkata sai ram tirunagari(Vtiru5) , Pradeep kumar Naidu(Pnaid2), Simhadri Ramanjaneyulu(rsimh3), Subhalaxmi Rout(srout2)
CDC Crude Rate Analysis
Mortality Rates and Causes Across the United States using Subhalaxmi Rout 2021-03-14 Instruction I have provided you with data about mortality from all 50 states and the District of Columbia. Please access it at https://github.com/charleyferrari/CUNY_DATA608/tree/master/lecture3/data Question 1: As a researcher, you frequently compare mortality ...
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DATA 622 - Final Project
Authorship Group 5: Don (Geeth) Padmaperuma, Subhalaxmi Rout, Isabel Ramesar, and Magnus Skonberg Background The purpose of our Final Project was to explore the application of Neural Networks to loan approval data to then back compare model performance with a variety of Classification algorithms (ie. KNN, DT, RF, GBM). Neural Networks Neural n...
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Loan approval using Neural Nets
Authorship Group 5: Don (Geeth) Padmaperuma, Subhalaxmi Rout, Isabel Ramesar, and Magnus Skonberg Background The purpose of our Final Project was to explore the application of Neural Networks to loan approval data to then back compare model performance with a variety of Classification algorithms (ie. KNN, DT, RF, GBM). Neural Networks Neural n...
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test
library(ggplot2) library(dplyr) library(plotly) #library(shiny) library(tidyr) df <- read.csv('https://raw.githubusercontent.com/SubhalaxmiRout002/DATA-608/main/Final%20Project/Supermarket%20Sales%20-%20Stock.csv') df <- data.frame(df) df <- df %>% rename(Tax = Tax.5.) df$Date <- as.Date(df$Date, format = "%m/%d/%Y") df$Month <- months(as.Da...
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Mental Health Analysis
Authorship Group 5: Don (Geeth) Padmaperuma, Subhalaxmi Rout, Isabel R., and Magnus Skonberg Background The purpose of this assignment was to explore Clustering, Principal Component Analysis, and Support Vector Machines. Clustering is used as a means of grouping a set of observations in a way that those in the same group are more similar to one...
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Project 2
Group Members Subhalaxmi Rout Kenan Sooklall Devin Teran Christian Thieme Leo Yi Introduction We have been given a dataset from a beverage manufacturing company that consists of 2,571 rows of data and 33 columns. The dataset contains information on different beverages and their chemical composition. The goal of this analysis is to use the 32 pr...
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Project 2 with XGBoost
Library library(fpp2) library(ggplot2) library(tidyr) library(dplyr) library(stringr) library(broom) library(seasonal) library(imputeTS) library(tidymodels) library(mice) library(inspectdf) library(lubridate) library(corrplot) library(caret) library(fpp3) library(randomForest) library(Cubist) library(iterators) library(parallel) library(doMC) Da...
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MBA_python
import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns; sns.set() from mlxtend.preprocessing import TransactionEncoder from mlxtend.frequent_patterns import apriori, association_rules, fpgrowth Exploratory Data Analysis The GroceryDataSet is a list of transcations make at a grocery store. The dataset comes ...
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Market Basket Analysis
Question The Groceries Data Set contains: a collection of receipts with each line representing 1 receipt and the items purchased. Each line is called a transaction and each column in a row represents an item. Here is the dataset is in GroceryDataSet.csv (comma separated file). You assignment is to use R to mine the data for association rules. You...
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Home work batch 2
Chapter 6 - Linear Regression and Its Cousins 6.3 A chemical manufacturing process for a pharmaceutical product wasdiscussed in Sect. 1.4. In this problem, the objective is to understand the relationship between biological measurements of the raw materials (predictors), measurements of the manufacturing process (predictors), and the response of ...
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