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Week 1: June 4th, 2018

Tuesday (6/5/18)

  • Met with Dr. Praveen and Joe, discussed the outline of the project, as well as plans for week and other logistics
  • Discussed overview of internship with Dr. Brylow, set up all of my accounts
  • First read-through of the 2017 research paper of this topic - "Forecasting Stock Prices using Social Media Analysis"

Wednesday (6/6/18)

  • Took notes on 2017 research paper, formulating initial questions and listing topic areas in which to focus on understanding
  • Looked through last year's code
  • Began reading through last year's references, starting with "Stock Market Prediction System with Modular Neural Networks"

Thursday (6/7/18)

  • Met with Dr. Praveen and Joe, solidified ideas of what goals to consider for project
  • Began making a research table, classifying readings through ideas/methods and conclusions
  • Finished "Stock Market Prediction System with Modular Neural Networks" and added to table
  • Finished half of week 1 of Coursera Data Science in Python

Friday (6/8/18)

  • Built up basic knowledge about neural networks and the different types
  • Brainstormed ways to approach last years project and improve upon it/ make it my own

Week 2: June 11th, 2018

Monday (6/11/18)

  • Found around 8 papers pertaining to the project
  • Created and filled out an excel spreadsheet covering the papers and their main ideas

Tuesday (6/12/18)

  • Met with Dr. Praveen and Joe, solidified plans for bringing in other sources to make model better and considering N day look ahead
  • Finished the papers found on Monday
  • Worked a bit on Coursera week 1

Wednesday (6/13/18)

  • RCR training

Thursday (6/14/18)

  • Met with Dr. Praveen briefly
  • Finished week 1 Coursera
  • Found more papers for background knowledge
  • Started to look through the code and research how to convert python 2.7 to python 3

Friday (6/15/18)

Week 3: June 18th, 2018

Week 4: June 25th, 2018

Week 5: July 2nd, 2018

Week 6: July 9th, 2018

Week 7: July 16th, 2018

Week 8: July 23rd, 2018

Week 9: July 30th, 2018