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)

Discussion 16

27.11.2020

Discussion 16 Subhalaxmi Rout 2020-12-02 Give the domain and range of the multi-variable function. \(f(x; y) = x^2 + y^2 + 2\) Solution \(f(x; y) = x^2 + y^2 + 2\) \(z = f(x,y)\) For all possible pairs of (x,y), domain of z is \(R^2\). The range is the set of all possible output values. The square ensures that all output is >= 0. Since the...

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Homework 5

30.11.2020

DATA 621: Homework 5 Matthew Baker, Don Padmaperuma, Subhalaxmi Rout, Erinda Budo 12/10/2020 Overview In this homework assignment, you will explore, analyze and model a data set containing information on approximately 12,000 commercially available wines. The variables are mostly related to the chemical properties of the wine being sold. The resp...

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Blog 1

01.12.2020

Residual Analysis Subhalaxmi Rout 12/20/2020 Residual Analysis Before start residual analysis, lets understand what is it? What is Residuals? Residuals are differences between the one-step-predicted output from the model and the measured output from the validation data set. They are also known as errors. Residual = Observed value - Predicted val...

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Blog 4

06.12.2020

Logistic Regression Subhalaxmi Rout 12/20/2020 Logistic Regression It is a predictive algorithm using independent variables to predict the dependent variable, just like Linear Regression, but with a difference that the dependent variable should be categorical variable. What is difference between linear and logistic regression? Linear and Logist...

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Blog 5

06.12.2020

Supervised Learning Algorithms Subhalaxmi Rout 12/20/2020 Why we use machine learning algorithm? ML algorithms enable computers to learn from the available data to make predictions and inferences without requiring explicit programming instructions to perform the required tasks. Machine learning is a subset of AI. It is essentially a combination ...

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Binary and Multinomial Logistic Regression

20.02.2021

Assignment 1 (Logistic Regression) Subhalaxmi Rout 02/19/2021 Instruction Let’s use the Penguin dataset for our assignment. To learn more about the dataset, please visit: https://allisonhorst.github.io/palmerpenguins/articles/intro.html For this assignment, let us use ‘species’ as our outcome or the dependent variable. \(1.\) Logistic Regr...

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Fastest growing companies in the US

14.02.2021

DATA-INK (Visualization of fastest-growing companies in the US) Subhalaxmi Rout 2021-02-14 # Load libraries library(ggplot2) library(stats) library(DT) library(dplyr) library(psych) library(visdat) Principles of Data Visualization and Introduction to ggplot2 I have provided you with data about the 5,000 fastest growing companies in the US, as co...

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Classification

08.04.2021

Authorship Group 5: Don (Geeth) Padmaperuma, Subhalaxmi Rout, Isabel Ramesar, and Magnus Skonberg Background The purpose of this assignment was to explore classification via K-nearest neighbors, Decision Trees, Random Forests, and Gradient Boosting. Classification Classification is a supervised machine learning technique whose main purpose is ...

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Super Market Sales Analysis

29.03.2021

Super Market Sales Analysis Subhalaxmi Rout 03-28-2021 Data Source Supermarket sales data from Kaggle. Link: https://www.kaggle.com/aungpyaeap/supermarket-sales Description about dataset The growth of supermarkets in most populated cities are increasing and market competitions are also high. This data is about supermarket sales, and this data i...

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LDA, QDA and Naive Bayes analysis

20.03.2021

Linear Discriminant Analysis, Quadratic Discriminant Analysis, and Naive Bayes Subhalaxmi Rout Instructions Use Penguine dataset for this assignment. Please use “Species” as your target variable. For this assignment, you may want to drop/ignore the variable “year”. Using the target variable, Species, please conduct: \((a.)\) Linear Discr...

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