This is the capstone project for the Data Science Specialization. In this report, we demonstrate some basic features of the dataset and do some exploratory analysis with the unigrams in the data.

Using various machine learning techniques to perform prediction on the quality of barbell lifts from sensor data collected by fit devices.

An R presentation showcasing the shiny app for old faithful prediction.

A simple scatter plot made with plotly.

A simple plotly figure showing some variables in mtcars.

A map that shows the location where the I85 collapsed due to the fire on March 30, 2017.

We analysis the Storm Data from National Weather Service, and try to determine the severity of consequences of each type of storm