Publications by Coffy Andrews-Guo
Final_DigitRecognizer
Final Project (2/3) - DIGIT RECOGNIZER Kaggle data set to learn computer vision fundamentals with the famous MNIST data. The goal is to take an image of a handwritten single digit, and determine what that digit is. For every in the test set, you should predict the correct label. Required Libraries library(tidyverse) library(kableExtra) library...
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PageRank
Final Project (1/3) - PLAYING WITH PAGERANK Required Libraries library(matlib) library(Matrix) library(expm) library(igraph) This document will examine and verify that PageRank works by performing calculations on a small universe of web pages. We will analyze the 6 page universe provided in the course for the following calculations. 1. Matri...
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D605 Assignment12
Load Library library(tidyverse) Dataset: The dataset was retrieved from Kaggle, 80 Cereals. This dataset contains the nutritional content of 77 cereals and their ratings from Consumer Reports (unverified). Understanding the dataset The dataset contains 16 columns (variables) and 77 rows (observations). cereal <- data.frame(df) #retrieve the n...
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D605 Assign12
Regression Analysis Linear Model The who.csv is a pre-selection course data set containing real-world data from 2008. The data set will provide analysis models such as: simple linear regression with non-transformed and transformed variables, forecasting, and multiple regression. Load Required Libraries library(tidyverse) library(corrplot) libr...
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Final - HousePrice
HOUSE PRICES: ADVANCED REGRESSION TECHNIQUES House Price Predictors Kaggle.com, House Prices: Advanced Regression Techniques competition.. A playground competition’s dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence. The data set contains 79 explanatory variables describing (almost...
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D605 Assign11
Assignment Using the “cars” data set in R, build a linear model for stopping distance as a function of speed and replicate the analysis of your textbook chapter 3 (visualization, quality evaluation of the model, and residual analysis.) Initial Data Load data set, cars, from package and view the data frame. The data frame contains 2 variables...
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