The app takes a word or (multiple words) from the user. It is an exercise of using a training data from a pre-processed corpus, and some Natural Language Processing algorithms. As output, a predicted word is displayed back to the user. Created using RStudio as a Shiny app

A deliverable for Coursera's Data Science Capstone

MOOC course at Coursera

Using Regression Models and Exploratory Data Analysis, we look at a dataset of a collection of cars to explore the relationship between a set of variables and miles per gallon (MPG). Particularly, answers to the following two questions will be publish on Motor Trend, a magazine about the automobile industry: 1) Is an automatic or manual transmission better for MPG? 2) Quantify the MPG difference between automatic and manual transmissions

In this second part of the project, we analyze the ToothGrowth data in the R datasets package. A deliverable as part of the Data Science Specialization offered by the John Hopkins University. Submitted to Brian Caffo, PhD

In this project you will investigate the exponential distribution in R and compare it with the Central Limit Theorem. A deliverable as part of the Data Science Specialization offered by the John Hopkins University. Submitted to Brian Caffo, PhD

A deliverable as part of the Data Science Specialization offered by the John Hopkins University. Submission to Roger D. Peng PhD.