View source for Diego A Pérez Morales


==Weekly Log==
===Week 1===

* Attended orientation
* Attended data science workshop
* Attended good research practices talk
* Started looking for research papers having to do with clustering
*Started learning about what is clustering and what type of methods exist
* Started looking up information about K-Mean Clustering
*Had a meeting with Prof.Zimmer to brainstorm initial ideas for the research and establish what the research is going to be about
* Set personal goals and milestones for the summer
===Week 2===
*Attended the professional development meetings for the week
*Met with Prof.Zimmer to discuss the milestones we should tackle going into the future.
*Established recurring weekly meetings with Prof.Zimmer.
*Shared research data and other material through shared folder.
*Used the shared txt data to start preprocessing the data in python.
*Managed to create three functions in python to preprocess some sample text from the shared data.
*Coded my first experiment of the KMean model for the sample text data and managed to get my first graphs of the clustering.

===Week 3===
*Finished the RCR requirements.
*Met with Prof.Zimmer to show him my progress up until now and set some goals for the week.
*Commented and organized most of the code I've made up until now to make it look presentable.
*Met with past students who have worked on my research before and interchanged ideas. 
*Made a script to group multiple text files into one text document, which can later be used on the previous algorithm I made.
*Added a feature to lemmatize the text of the file being fed to the algorithm. 
*Made some minor changes to the preprocessing of the text as a whole.
*Shifted the focus of the research to be more of a thematic approach rather than looking for certain parts of a text.
*Started looking for supervised algorithms we can use to compare to the supervised one we have. 
*Started preparing a research presentation of what I've done so far.

===Week 4===
*Attended profession meeting/presentation for the week
*Prepared a sample data file to test supervised M.L algorithms
*Managed to prepare a K Neighbors algorithm to run the sample data on.
*Managed to prepare a SVM (SVC) algorithm to run the sample data on.
*Got preliminary results with these supervised algorithms using the sample data.
*Kept preparing the mini presentation to show that I've done so far.

===Week 5===
*Finished my mini presentation
*Met a total of 4 times with Professor Zimmer to discuss the presentation and other topics regarding our research
*Presented my mini presentation in front of the group 
*Developed a python script to convert docx documents into a unified text file containing all of the contents of the docx files
*Did some more cleaning on the newly unified data, specifically for the removal of  single characters and empty strings 
*Did some reading into some of the supervised ML algorithms I've used up until now, specifically SVC and KNeighbors

===Week 6===
*Attended the research poster presentation
*Received data representing the individual parts of each manually labeled document
*Reviewed the data I received in order to work with it
*Made a python script to process the 800+ docx documents and group them into a text file
*Made a python script to only process the docx documents related to a certain section of the manually labeled data
*Made a python script which categorizes the manually labeled data into a csv file, which can later be used to run on the supervised algorithms
*Met with Prof.Zimmer to update him on what I've been working on and talk a bit about the data he sent me

===Week 7===
*Attended industry panel
*Met with Prof.Zimmer to clarify some details about the data he gave and what we want to do with it
*Made a python script to have all of the data to process in one file  
*Made a python script to further process the data Prof.Zimmer gave me, which corresponds to different parts of the data science programs
*Ran some tests using this processed data on the unsupervised clustering algorithm we have up until now 
*Prepared the files of the data to be ran on the supervised clustering algorithm

===Week 8===
*Ran some initial tests, using the data from the different parts of the documents, on the supervised algorithms
*Met with Prof. Zimmer to discuss some results from the preprocessing and what we are going to do going towards the end of this REU
*Was able to run the data of the different parts with both types of algorithms and get some results 
*Started writing down the results I got from my tests running the data for future reference 
*Started setting up the layout for the research poster
*Went into a weekly meeting with the rest of the REU participants to see how everyone was doing with their work
*Met with Prof.Zimmer to show him some of the code that I did to get some results and my initial thoughts for the poster

===Week 9===
*Went ahead and finished the research poster
*Met with Prof.Zimmer to show him the poster and go over the results we got from the data
*Started working on a template for the research paper 
*Did some research on on the SVC and KNeighbor algorithms in order to talk about them on the paper and poster
*Met with the rest of the REU participants to clear up any lingering questions about the end of the REU
*Finished the final formal presentation

===Week 10===
*Finished writing the research paper
*Gave the formal presentation for the research
*Participated in poster session and talked about my work with other students
*Participated in the formal presentation of other students
*Did some arrangements to prepare all of the last hand-ins for the REU