Machine Learning Project using NYC Yellow Taxi Cab Dataset
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Updated
Dec 9, 2017 - R
Machine Learning Project using NYC Yellow Taxi Cab Dataset
An analysis of the time spending habits of American consumers.
Shiny app to parse a .twb file to show data source as well as dependency between calculated fields, parameters and raw data.
Integrating R with Tableau, This is a simple algorithm using R to detect outliers in the tested dataset then I used Tableau to visualize the result.
Analysis of historical European Premier League football (soccer) matches
In this case study, I will perform many real-world tasks of a junior data analyst at a fictional company, Cyclistic. In order to answer the key business questions, I will follow the steps of the data analysis process: Ask, Prepare, Process, Analyze, Share, and Act.
Google Data Analytics Capstone: Task 1 | Case Study: How Does a Bike-Share Navigate Speedy Success? | Data clean on R, data viz on Tableau
Airline travel has become one of the most used means of transportation in the last decades. With the frequent travel by customers, there is a lot of increase in the airlines and so is the demand. To keep the existing customers and attract the new ones in the very competitive environment
Google Data Analytics Capstone Project: Cyclistic '22
Unleashing the power of Text Mining and Sentiment Analysis to summarize the latest season finale of Game of Thrones
In this project, we analyze the past criminal record data of Ireland generated by the Gardaí. We attempt to map this data with some key metrics such as population of different divisions, unemployment rates and depression levels to analyze the relation between crime types and criminal intense areas.
Covid-19 Analysis Using R Programming
Performed sentiment analysis on 1300+ tweets by the customer service of Delta Airlines to give adept recommendations to Delta to understand their shortcomings on various fields
using R programming to design a model that predicts churn.
a Bellabeat product and analyze smart device usage data in order to gain insight into how people are already using their smart devices.
Loyola Chicago Course - INFS 348
Text mining and sentiment analysis of Twitter data using R and Tableau
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