Publications by Raymond Fries
608_homework_one
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 compiled by Inc. magazine. lets read this in: inc <- read.csv("https://raw.githubusercontent.com/charleyferrari/CUNY_DATA_608/master/module1/Data/inc5000_data.csv", header= TRUE) And lets preview this d...
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FX_Part_3
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(tidyverse) ## ── Attaching packages ──────────────────────...
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FX_Part_2
Part II Digit Recognition rm(list=ls()) t1<- Sys.time() 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(purrr) library(randomForest) ## randomForest 4.6-1...
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FX_Part_1
605_Final_Exam Raymond Fries 12/9/2021 Part I Playing with PageRank You’ll verify for yourself that PageRank works by performing calculations on a small universe of web pages. Let’s use the 6 page universe that we had in the previous discussion For this directed graph, perform the following calculations in R. • Form the A matrix. Then, ...
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605_Hw_13
Calculus with R 1. Use integration by substitution to solve the integral below. \(u=-7x\hspace{.3cm} du=-7dx\) \(\huge\int_{}^{}4e^{-7x}dx\) \(\huge\int_{}^{}-\frac{4}{7}e^u\hspace{.1cm}du\) \(\huge\int_{}^{}-\frac{4}{7}e^u\hspace{.1cm}du\) \(\huge-\frac{4}{7}\int_{}^{}e^u du\) \(\huge-\frac{4}{7}e^u + C\) \(\huge-\frac{4}{7}e^{-7x} + C\) 2. B...
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Recommender
Netflix Recommender System Scenario Design Analysis According to Netflix’s research page, Netflix has several different recommendation systems making recommendations on different aspects of their application. They try to personalize everything on the page, from the artwork that you see on the homepage to the artwork shown on the movie titles. ...
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607_Hw_10
Notes The text analyzing code is based on the code from Silge, J., & Robinson, D. (2017). Text Mining with R: A Tidy Approach (1st ed.). O’Reilly Media. Objective To scrape Advance Micro Devices Investor Relations press releases to derive sentiments by year. Shiny app for database sign in. This is a simple sign in gui that Rmarkdown will pi...
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605_Hw_9
11 page 363 11 The price of one share of stock in the Pilsdorff Beer Company (see Exercise 8.2.12) is given by Yn on the nth day of the year. Finn observes that the differences Xn = Yn+1 − Yn appear to be independent random variables with a common distribution having mean µ = 0 and variance σ2 = 1/4. If Y1 = 100, estimate the probability tha...
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607_Wk_9_Hw
Objective: The New York Times web site provides a rich set of APIs, as described here: https://developer.nytimes.com/apis You’ll need to start by signing up for an API key. Your task is to choose one of the New York Times APIs, construct an interface in R to read in the JSON data, and transform it into an R DataFrame. Solution: The solution I ...
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final
Which are the most valued data science skills? If you google this question you will receive all kinds of results saying things like Python, Sql, R, Machine Learning, Natural Language Processessing, are the most important skills to have to be a data scientist. Which is accurate, those are necessary skills but it leaves out the most important skill...
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