Difference between revisions of "User:Dalmeidad"
From REU@MU
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* Began making a research table, classifying readings through ideas/methods and conclusions | * 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 "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== | ==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 3: June 18th, 2018== |
Revision as of 21:17, 14 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
- 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