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Condition report with reflectance and absorbance datasets for Sunday in London (OCLC No. 2756214)

This is a condition report that measured reflectance and absorbance datasets for the paper used in the 1833 publication "Sunday in London"
Huw Sandaver
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Condition report with reflectance and absorbance datasets for Moran, Patrick Francis. History of the Catholic Church in Australasia, from Authentic Sources. Sydney: Oceanic Publishing Company, 1894

This is a condition report that measured reflectance and absorbance datasets for the paper used in the 1894 publication "History of the Catholic Church in Australasia"
Huw Sandaver
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IBM course project: Classification

As a final project for the third course of the ibm machine learning specialization, do various classification models to make a explanation of the insights and learn in the course
Vicente Figueroa
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Heart rate prediction using Logistic Regression

World Health Organization has estimated 12 million deaths occur worldwide, every year due to Heart diseases. Half the deaths in the United States and other developed countries are due to cardio vascular diseases. The early prognosis of cardiovascular diseases can aid in making decisions on...
Akriti Sood
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2nd COVID year using Tableau ✨

Examine 2nd COVID year data. Link to Dataset: https://ourworldindata.org/covid-deaths
Mahmoud Reda
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2020 U.S. Presidential Election Analysis

A tableau dashboard was created to analyze the 2020 United States Presidential Election. The result shows that the majority of the following demographics voted for Donald Trump - ages 45 and above, did not graduate college, male, married, live in a rural or small town, white people, earning...
Maynard Emmanuel B. Miranda
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Superstore Dashboard

A tableau dashboard was used to analyze the current and future financial and operational performance of the Superstore. The dashboard can be filtered by date range, region, state, city, and segment.
Maynard Emmanuel B. Miranda
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Analysis of Sample Courses Published on Udemy EdTech Platform

A sample of courses published on udemy.com was gathered from an article on Medium; the courses were grouped into four category. The dataset was cleaned, manipulated and explored for insight using standard pythonic programming. The cleaned dataset was exported as excel and subsequently loaded...
Nnaemeka Onyebueke
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Scraping & Data viz.

Allociné and imb Data viz are two projects for collecting data via web scraping, data analysis, and data visualization. the objective of the two projects was to analyze the cinema sector in France and to bring out relevant information for better decision-making by the individual. The analysis is...
Serge Amoungui
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Instagram Post Data Analysis

This project is an analysis of three months of Instagram data compiled between June 1, 2022 and August 31, 2022 studying the effects of a variety of variables, time of day, part of the week, post type, and content type, and the result of these on two key social media metrics, accounts reached...
Tyrone O'Garro Jr
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Sales Segmentation Analysis

Sales dataset found on Kaggle of what is presumed to be the sales data of a multinational corporation. The dataset contains sales data of 307 distinct orders, 287 of which have been shipped, 7 products, 73 cities, 19 countries, and 4 territories. The goal of this analysis is to explore the...
Tyrone O'Garro Jr
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Evaluating Traffic Accident Risk for Nashville Roadways

Understanding traffic accident patterns through data analytics and visualization enables us to identify and implement traffic safety improvement strategies, including but not limited to improved roadway design. For this project, I created a Shiny app for evaluating and visualizing traffic...
Rohit Venkat
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Social network analysis on Disney films

The aim of this capstone project was to analyze the character network in Walt Disney films in the context of gender inequality using social network approach. Datasets used are film transcript data of 26 Disney Princess and Pixar films.
Kathleen Yoojin Jeong
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Predicting Airbnb Rental Prices in the U.S.

This project analyzed the factors that may have significant roles in affecting prices, which will provide comprehensive insights about Airbnb rental price valuation across the U.S.
Kathleen Yoojin Jeong
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Predicting Yelp Review Quality

Using natural language processing (NLP) and machine learning (ML) to predict the usefulness of Yelp reviews given the review text and metadata surrounding the reviews.
Jeff Johannsen
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ِData Analyze of Job Postings (Indeed USA)

On this project, I've worked on data from Kaggle (https://www.kaggle.com/datasets/yusufolonade/data-science-job-postings-indeed-usa). The data contains 1200 sample rows and 9 features. Finding relations between features and visualization necessary for more understanding is the goal of this project
Mehrad Tavanamehr
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Nigeria Vehicles Price Prediction

The art of pricing is not an easy task and is sometimes only done by experts in the field, but with the study of historical data, it is possible to find patterns that lead to results just as well. With this project, I built a model that can predict the price of used cars, given a set of...
Segun Adedipe
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Medium - Towards Data Science Writer

I regularly write Data Science and Machine Learning blog‐posts. Click on the links to read my most-read articles. (1) Using AI to automatically estimate the status of a façade (2) What I learned about Graph Neural Networks (3) Introduction to Reinforcement Learning: Temporal...
Alessandro Paticchio
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Radionuclide Release Analysis

The main objective of this exercise was to analyze the quality of open-access radionuclide release datasets, by identifying patterns, trends, unusual values, and missing data to inform regulatory legal submissions related to nuclear transparency and data disclosure for the Canadian Nuclear...
Alan Rial
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Transport for London Tube-Twin-Passenger-Forcasting-System

The London Underground (aka “The Tube”) is a network of train stations which connects the city. Understanding the behaviour of this tube network will help the management make key decisions on improving the network and offering better customers experience.
Fielami Emmanuel David
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