Publications by Abdellah Ait Elmouden

Week 7 assignment

14.03.2020

Objective of the Assignment: The goal of this assignment is to manipulate Less-structured data from the web. We’ll focus on the standard formats for web data: HTML, XML, and JSON. Three books were selected and information were stored in three files HTML, XML and JASON, from where data will be loaded. Load the required Libraries library(XML) #f...

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Lab 8 | Introduction to linear regression

31.03.2020

Batter up The movie Moneyball focuses on the “quest for the secret of success in baseball”. It follows a low-budget team, the Oakland Athletics, who believed that underused statistics, such as a player’s ability to get on base, betterpredict the ability to score runs than typical statistics like home runs, RBIs (runs batted in), and batting...

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Assignment 11

06.04.2020

Introduction Sentiment analysis is a type of text mining which aims to determine the opinion and subjectivity of its content. in Text Mining with R, Chapter 2 Book the author provide some example code how to perfrom a sentiment analysis using tidytext, tidyr and dplyr packages. the goal of this assignment is to explore these examples, and extend ...

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Recommender Systems

18.04.2020

Introduction Even as Uber Engineer improve Uber Eats to better understand eaters’ intentions when they use search, there are times when eaters just don’t know what they want to eat. In those situations, the Uber Eats app provides a personalized experience for each individual through restaurant recommendations. uber Who are their target user...

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Final Project

11.05.2020

Will Lockdowns change the fitness industry, and what to expect of post-pandemic workouts Table of Contents Introduction The Data Extract Reddit urls Extract Reddit Comments Clean the Text Data Fixing the Date Format Remove ponctuation and Unicode Characters Sentiment Analysis R Markdown and other files Introduction As lockdown was announced...

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Discussion 13

20.11.2020

Part 1 - Introduction What are the top causes of death in New York City? How long can we expect to live? Are we gaining or losing ground against our most life-threatening public health crises? Death statistics can provide insights into many facets of modern life. Mortality data answers critical questions like these, helping us understand how many...

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Module 1

15.02.2021

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: library(tidyverse) library(ggplot2) library(scales) inc <- read.csv("https://raw.githubusercontent.com/charleyferrari/CUNY_DATA_608/master/module1/Data/i...

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Interactive Visualizations in R

15.03.2021

library(shiny) library(plotly) library(rsconnect) Objective Shiny is an R package that makes it easy to build interactive web applications (apps) straight from R. This. This module is about the shift from ‘static’ graphics to interactive ones. We will be working with data about mortality from all 50 states and the District of Columbia. Data...

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