intro2DataScience

This repository consists of materials from an Intro. to Data Science course taught at CU Boulder each folder consists of a report on a topic of interest I learned about over a two week period, and then wrote up a report in an .rmd file. The topics range from a simple reinforcement learning tutorial in R, to developing a shallow CNN for text classification in keras. See the table of contents below. For any questions, please email me at [email protected]

Table of Contents

1. Twiter nlp analysis
2. Twitter nlp analysis 2+Meta analysis paper nlp
3. Intro to RL
4. RL of Emotion
5. Text classification in R
6. Text classification in R 2
7. Final CNN