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)
Final Project
Abstract A one paragraph summarizing the problem, the method you used to do the analysis and the results of your experiment Bike sharing systems are new generation of traditional bike rentals where whole process from membership, rental and return back has become automatic. Through these systems, user is able to easily rent a bike from a particular ...
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Assignment 5
Housing data prediction : For this problem, we are going to use the housing dataset from this kaggle competition. The dataset has 80 variables for each house describing the lot shape, size, neighborhood, number of rooms, number of bathrooms, etc. The goal is to predict the house sale price from these variables. Download and unzip the attached data....
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Assignment 5
Assignment 05: For this problem, we are going to use the housing dataset from this kaggle competition. The dataset has 80 variables for each house describing the lot shape, size, neighborhood, number of rooms, number of bathrooms, etc. The goal is to predict the house sale price from these variables. Download and unzip the attached data. It consist...
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Assignment 4 - Problem 2
Assignment 04: Hands On with ANN # Import all the relevent libraries library(tm) library(gmodels) library(Matrix) library(qdap) library(keras) library(tensorflow) library(readr) library(tfruns) library(ggplot2) library(tidyr) library(dplyr) library(corrplot) library(caret) library(neuralnet) library(GGally) library(NLP) Problem 2: Predicting Base...
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Assignment 4 - Problem 1
Assignment 04: Hands On with ANN Problem 1: Using ANN for Covid Sentiment classification Preparing Tweets: # Import all the relevent libraries library(tm) library(gmodels) library(Matrix) library(qdap) library(keras) library(tensorflow) library(readr) library(tfruns) library(ggplot2) library(tidyr) library(dplyr) library(corrplot) library(caret)...
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Assignment 4 - P2
# Load libraries library(dplyr) library(tidyr) library(ggplot2) library(caret) library(leaps) library(tidyverse) library(psych) library(rpart) library(kableExtra) library(C50) library(tm) library(qdap) library(keras) Problem 2: Problem2—Predicting Baseball players’ salaries Given the hitters dataset attached with this assignment spec, the goal...
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Project Topic
Data Set Information: Bike sharing systems are new generation of traditional bike rentals where whole process from membership, rental and return back has become automatic. Through these systems, user is able to easily rent a bike from a particular position and return back at another position. Currently, there are about over 500 bike-sharing program...
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Assignment 3
# Load libraries library(dplyr) library(tidyr) library(ggplot2) library(caret) library(leaps) library(tidyverse) library(psych) library(rpart) library(kableExtra) library(C50) Problem 1: Predicting number of college applications Given the college dataset attached to this assignment, the goal of this problem is to predict the number of applications...
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Assign 2 P1
Problem 1: Applying k-Nearest Neighbors to predict income For this assignment, we will be using the census adult dataset from UCI ML repository. The Adult dataset was extracted by Barry Becker from the 1994 US Census Database. Each row in the dataset has de-identified dempgraphic information of an individual worker and their income. The income is a...
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Assign 2 P2
Problem 1: Applying k-Nearest Neighbors to predict income For this assignment, we will be using the census adult dataset from UCI ML repository. The Adult dataset was extracted by Barry Becker from the 1994 US Census Database. Each row in the dataset has de-identified dempgraphic information of an individual worker and their income. The income is a...
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