For Machine Learning course at CUNY SPS, MSDS program.

For Predictive Analytics course at CUNY SPS, MSDS program.

For Machine Learning course at CUNY SPS, MSDS program.

For Predictive Analytics course at CUNY SPS, MSDS program.

For Predictive Analytics course at CUNY SPS, MSDS program.

For Machine Learning course at CUNY SPS, MSDS program.

For Predictive Analytics course at CUNY SPS, MSDS program.

For Predictive Analytics course at CUNY SPS, MSDS program.

For Machine Learning course at CUNY SPS, MSDS program.

For Predictive Analytics course at CUNY SPS, MSDS program.

For Predictive Analytics course at CUNY SPS, MSDS program.

For Predictive Analytics course at CUNY SPS, MSDS program.

For Predictive Analytics course at CUNY SPS, MSDS program.

Sentiment analysis.

Tidyverse Create Assignment in DATA607

Access NY Times books API.

> Douglas Barley: database storage, Kaggle Survey tidying, presenter > Atina Karim: database storage, Kaggle Survey analysis, lead presenter > Rachel Greenlee: project manager, Indeed analysis, graphing support, writing support > Ellen Kim: github master, Glassdoor tidying and analysis, presenter > Zachary Palmore: Indeed scrape, Indeed tidying, lead project writer

Rachel Greenlee, Atina Karim, Douglas Barley

In this project, you’re given a text file with chess tournament results where the information has some structure. Your job is to create an R Markdown file that generates a .CSV file (that could for example be imported into a SQL database) with the following information for all of the players: Player’s Name, Player’s State, Total Number of Points, Player’s Pre-Rating, and Average Pre Chess Rating of Opponents For the first player, the information would be: Gary Hua, ON, 6.0, 1794, 1605