Description

• Our project is about volcano eruptions.
• We studied and observed patterns among past eruptions
• We used machine learning to be able to predict information regarding the next eruption

Acquisition

• Data collected from https://volcano.si.edu/
• We used beautifulSoup to extract information into a dataframe

Data Cleaning

• We found many "Unknown" entries in the data , that represent different eruptions , so we divided them into groups (Unknown 1-6)
• We replaced values like '--' to NaN values
• We dropped columns that had >50% missing values
• We filled cells based on the most logical approach (mean,upper neighbor,etc..)

Visualisation

• We plotted the eruptions on top of the world map
• We showed eruptions occured mainly around the Ring of Fire
• We plotted the data into multiple charts

Machine Learning

• We predicted the strength of the next eruption
• We predicted volcano types based on their heights
• We predicted S02 emissions.