Exploring the effect of automatic or manual transmission on fuel efficiency using a variety of linear regression models
Exploring a simple ML workflow to predict the classification of physical exercise from accelerometer, gyroscope and magnetometer data
This blog compares common thematic map types, such as choropleths, dot density maps, and proportional symbols maps, through a dataset of household access to electricity and latrines in India.
EDA of Pennsylvania's campaign finance data from the 2016 Presidential Election
Mapping growth of Saravana Bhavan restaurants around the world
Slides for capstone project of JHU Data Science Specialization on Coursera
Milestone report documenting progress towards predictive text app in support of Coursera JHU Data Science Specialization Capstone
Submission for Week 3 assignment of Developing Data Products course of Coursera Data Science Specialization
Presentation introducing Shiny app that predicts probability of Titanic survival based on a simple logistic regression model in submission of Developing Data Products assignment
Submission for R Markdown and Leaflet Assignment in Developing Data Products course of the Coursera Data Science Specialization
This is my submission for JHU Data Science Reproducible Research Peer Assignment 2.