(Similarity of 350 documents abstracts, based on OpenAI embeddings, Ada model, Code adapted from Blog by J.Silge, 2023)

Nearly all geoscientists know the “Keeling Curve”, the graph of the accumulation of carbon dioxide in the Earth’s atmosphere based on continuous measurements taken in Hawaii from 1958 to the present day. (See https://en.wikipedia.org/wiki/Keeling_Curve ; or open an R session and type co2).

Activity/Excercise 1.6 in the MOOC "Advanced Data Mining with Weka". Data from ICRAF-ISRICSoilVNIRSpectralLibrary.pdf.

My weekend project, to make myself familiar with the R package `ggplot2`: Analysis of an Euro 2016 Betting Game. Predictions were made, just for fun, by a small group of players from my workplace. There were ~300 players predicting ~50 games.

exported from Rstudio. Nothing to see here, please move along.

Next-Word-Prediction. 5-page pitch presentation for Capstone project, 'Data Science Specialization', offered by Coursera /Johns Hopkins University.

The goal of this project is just to display that you've gotten used to working with the data and that you are on track to create your prediction algorithm. Explain your exploratory analysis and your goals for the eventual app and algorithm. This document should be concise and explain only the major features of the data you have identified and briefly summarize your plans for creating the prediction algorithm and Shiny app in a way that would be understandable to a non-data scientist manager. The motivation for this project is to: 1. Demonstrate that you've downloaded the data and have successfully loaded it in. 2. Create a basic report of summary statistics about the data sets. 3. Report any interesting findings that you amassed so far. 4. Get feedback on your plans for creating a prediction algorithm and Shiny app.

Number of fatalities and economic damage caused by extreme weather events appear to increase, US government database indicates.