Difference between revisions of "User:Dalmeidad"
From REU@MU
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* Met with Dr. Praveen and Joe, solidified plans for bringing in other sources to make model better and considering N day look ahead | * 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 | * Finished the papers found on Monday | ||
− | * | + | * Started week 1 on Coursera |
===Wednesday (6/13/18)=== | ===Wednesday (6/13/18)=== | ||
Line 37: | Line 37: | ||
* Finished week 1 Coursera | * Finished week 1 Coursera | ||
* Found more papers for background knowledge | * Found more papers for background knowledge | ||
− | * | + | * Worked on converting python 2.7 to python 3 |
===Friday (6/15/18)=== | ===Friday (6/15/18)=== | ||
− | + | * Worked on better understanding pandas and other packages being used in previous year's code | |
+ | * Started week 2 of Coursera | ||
==Week 3: June 18th, 2018== | ==Week 3: June 18th, 2018== | ||
+ | ===Monday (6/18/18)=== | ||
+ | * Met with P.H.D student Joseph Coelho and worked through Scott's code from last year's REU | ||
+ | * Continued to work independently on understanding the code | ||
+ | |||
+ | ===Tuesday (6/19/18)=== | ||
+ | * Met with Dr. Praveen and Joe, discussed the main goal and steps to take in improving the project | ||
+ | * Worked on making slight alterations the code and seeing the results | ||
+ | * Looked over some of the past readings I had done | ||
+ | |||
+ | ===Wednesday (6/20/18)=== | ||
+ | * Finished week 2 of Coursera | ||
+ | * Developed a plan as to how to implement changes to Scott's code in following weeks | ||
+ | |||
+ | ===Thursday (6/21/18)=== | ||
+ | * Worked on better understanding the method of finding and analyzing content of URLs in twits | ||
+ | |||
+ | ===Friday (6/22/18)=== | ||
+ | * Mostly added ability to parse to URLs | ||
+ | * Copied over Scott's code into a clean Jupyter Notebook and added important comments for myself | ||
==Week 4: June 25th, 2018== | ==Week 4: June 25th, 2018== | ||
+ | ===Monday (6/25/18)=== | ||
+ | * Finished the code to parse and obtain sentiment from URLs | ||
+ | * Began running tests, realized that running the code was very time consuming and began to look for a way around this | ||
+ | |||
+ | ===Tuesday (6/26/18)=== | ||
+ | * Met with Dr. Praveen and discussed my current progress on the code as well as steps to take during the coming weeks | ||
+ | * Began to write code to take all twit data and extract sentiment from the URLs, then save the data to a CSV file for future use | ||
+ | |||
+ | ===Wednesday (6/27/18)=== | ||
+ | * Worked on Midterm presentation | ||
+ | * Practiced Midterm presentation | ||
+ | |||
+ | ===Thursday (6/28/18)=== | ||
+ | * Presented and watched presentations of Midterm presentation | ||
+ | |||
+ | ===Friday (6/29/18)=== | ||
+ | * Week 3 of Coursera | ||
==Week 5: July 2nd, 2018== | ==Week 5: July 2nd, 2018== |
Revision as of 16:31, 29 June 2018
Contents
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
- Started week 1 on Coursera
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
- Worked on converting python 2.7 to python 3
Friday (6/15/18)
- Worked on better understanding pandas and other packages being used in previous year's code
- Started week 2 of Coursera
Week 3: June 18th, 2018
Monday (6/18/18)
- Met with P.H.D student Joseph Coelho and worked through Scott's code from last year's REU
- Continued to work independently on understanding the code
Tuesday (6/19/18)
- Met with Dr. Praveen and Joe, discussed the main goal and steps to take in improving the project
- Worked on making slight alterations the code and seeing the results
- Looked over some of the past readings I had done
Wednesday (6/20/18)
- Finished week 2 of Coursera
- Developed a plan as to how to implement changes to Scott's code in following weeks
Thursday (6/21/18)
- Worked on better understanding the method of finding and analyzing content of URLs in twits
Friday (6/22/18)
- Mostly added ability to parse to URLs
- Copied over Scott's code into a clean Jupyter Notebook and added important comments for myself
Week 4: June 25th, 2018
Monday (6/25/18)
- Finished the code to parse and obtain sentiment from URLs
- Began running tests, realized that running the code was very time consuming and began to look for a way around this
Tuesday (6/26/18)
- Met with Dr. Praveen and discussed my current progress on the code as well as steps to take during the coming weeks
- Began to write code to take all twit data and extract sentiment from the URLs, then save the data to a CSV file for future use
Wednesday (6/27/18)
- Worked on Midterm presentation
- Practiced Midterm presentation
Thursday (6/28/18)
- Presented and watched presentations of Midterm presentation
Friday (6/29/18)
- Week 3 of Coursera