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119 R data science projects found

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Using R Shiny to Inform Community Officials

Using a leaflet interactive map, we created a multilevel, informational dashboard that enables community officials to develop better insights into their population, facilities, and areas in need. This project utilized data from Census reports, facilities information, housing, and abandoned...
Brianna King
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The Effect of Greyscale on Screentime

A high amount of screen time and phone use can have a serious effect on mental health and physical well being. To tackle this issue, our project explores the use of removing colors from mobile phones to reduce overall screen time. This project’s results show that even with a specific treatment...
Julie Lai
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Kepler Mission: Celestial Bodies Classification

Classification of the observed objects by Kepler orbital telescope as Exoplanets or not.
Alberto Monaco
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Identifying Malignant Tumors with Machine Learning

Using data centered around the measurement of a variety of tumors, we created 3 machine learning models and compared the performance of each in classifying tumors as malignant or benign. We catered our approach, explanation, and demo towards medical professionals and explained a variety of model...
Brianna King
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Cost of Renting a House in Lagos State, Nigeria

I scraped, cleaned, and analysed real estate data with R to determine the factors that affect the cost of renting residential properties in the state, using PowerBI to visualise insights generated from the analysis.
Daniel Obi-Enadhuze
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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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history

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Cesar Cruz Rojo
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Upskilling with Ubiqum Code Academy

A 500-hours project-based course where the students develop and hone hands-on skills in Data analysis, Data visualisation and Machine Learning modelling with a variety of tools and programming languages (part-time, until end of March 2022). This is equipping me with the necessary skills and...
Alexandra Florea
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Sales Forecast Model

Forecasting product sales with Facebook's Prophet library and Modeltime R package.
Anita Owens
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UCI ML Drug Review Analysis

The objective was to build models for drugs scoring, starting from reviews.
Alberto Monaco
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Kepler Exoplanet Classification

Preprocessing, exploration and classification of the data collected by the NASA-build satellite Kepler Space Observatory with the objective of finding exoplanets.
Edoardo Gervasoni
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Causes of Employees' Attrition

Exploring the causes of employees' attrition through the analysis of Directed Acyclic Graphs and the implementation of Structure Learning Algorithms.
Edoardo Gervasoni
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Energy Price Forecasting

Forecasting of the price of the Energy market through linear (ARIMA, UCM) and non linear (KNN, RNN) models.
Edoardo Gervasoni
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Analysis of US January Air traffic

Project whose objective was to bring light to air traffic trends in the US after the christmas holidays. To achieve more interesting insights, the data is complemented with weather data through a JSON API. The project starts by considering research questions that would bring value to everyday...
Marcos Ivorra Peleguer
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Poverty rate analysis with linear regression and PCA

This notebook focuses on the analysis of the poverty rate of OECD countries in 2015. The analysis shows that income inequality explains the most of the poverty rate, but the share of this factor tends to change depending on the country.
Valentin Joly
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Artificial Neural Networks: Predicting Patient Outcomes

The goal is to understand the factors that lead to the survivability of patients who have experienced an acute myocardial infarction. Looking at a sample population of patients in the Massachusetts area, advanced data analysis will help gain some clarity on what affects their outcome.
Eric Haney
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Web Traffic Analysis and Forecasting

(Click on the link - Takes 1-2 minutes to completely load. ) Analyzed and predicted the future traffic for multiple time series of Wiki pages.
Avash
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