Today was the big day! We presented our presentation for our team members. Myself and Olivia Bindas will be presenting this weekend at the Pi Mu Epsilon Regional Conference.

Overall the rest of the team liked our presentation, it can be viewed

https://www.overleaf.com/read/swctmcwxfzgf here.

We did the whole thing in LaTeX in a beamer presentation!

Be ready to hear how it goes, during next week blog post!

Best,

Maddie Cope

Hello All,

Still working on the presentation for the Pi Mu Epsilon Regional Conference, we are working on the EDA still we are stuck on one part of it. We need to find the length of the deals but not all deal dates have ended so were trying to come up with a solution!

 

ALSO I don’t know if I have told you yet or not but we got accepted to present at NCUR this year in Georgia!

 

We are super excited for this and we need to get our website up and running so we can get things rolling!

See you next week!

Maddie Cope

Great things are happening this week!

WE FINISHED OUR EXPLORATORY DATA ANALYSIS!!

On Feb 23rd we are presenting out preliminary work at the Pi Mu Regional Conference at YSU. We need to make our presentation so we can present it next Wednesday at our meeting before we present it the following Saturday!

Stay tuned!

Welcome back! The school semester is starting to pick up!

Last week we worked on getting the website to be up and running. The math heavy researchers of the team were tasked with doing exploratory data analysis on our almost 4000 deal json file.

In order to do this we first had to upload our  json file into python and then make a matrix with the deals we wanted!

Stay tuned to see how it turned out for us!

Signing out,

Madeline

Welcome back everyone! Good to be back!

After this long break we are ready to get back into the research! We are currently making our website for the “groupon” deals so we can begin making a website for our participants to fill out!

We have a Json file with a little under 4000 deals!! Thus the making of the website gets a little tricky.

So what our goals for the week are:

• continue working on the website

Signing out,

Maddie

 

13 weeks in! At this meeting we discussed more about our survey and what exactly we wanted it to do. We also discussed making a front end so the user face is nice. Slightly off topic we discussed what we want our goal to be and if we would like to present this at  conference.

 

Looking forward:

• Write abstract
• Look at conferences we want to go to.

 

Catch you later,

Maddie

“There is no better test of a man’s integrity than his behavior when he is wrong” -Marvin Williams

Week 12 everyone!

Last week after reading a few articles, we began discussing two dimension reduction techniques – principal component analysis and singular value decomposition.

We have found a source to get our data and information from!

Looking Forward:

• send out a survey allowing a student to either dislike or like a certain item to start building out database.

“Great works are performed not by strength but by perseverance” – Samuel Johnson

Had off for Thanksgiving break!

“As we express our gratitude, we must never forget that the highest appreciation is not to utter words, but to live by them.”– John Fitzgerald Kennedy

Double Digits! Crazy that we are 10 weeks in!

This week we read about PCA and SVD some more, and at this weeks meeting we discussed the best way to fill in our data. Our data set is a lot of columns but only around 30 rows, due to this we are not sure we will need to reduce the dimensionality of the matrix.

Also our data set will have a lot of columns that will be empty because the “viewer” did not get to see those deals, so we are wondering which would be the best way to “fill” in the data: a random generator, K-nearest neighbor, Mutual nearest neighbor, artificial neural networks? Its still in the air.

Moving forward:

• Continue to read, read and read.
• Play around with data sets.
• Try to find the best technique to “fill” the empty spots.
• Decide if deminsionality reduction is necessary.

 

“Time moves slowly, but passes quickly” – Alice Walker

 

Bonus GRE word:

Ephemeral (adj). – short-lived

Week 9! The semester is flying by. We have started a literature review on two separate dimensionality reduction techniques:

1. Single Value decomposition
2. Principal component Analysis

I have previously did a research project where we used PCA so I am very excited to start moving slightly away from the coding aspect and closer to the mathy sides of things. As the next week progresses we will just keep on reading about these dimensionalilty reduction techniques.

“Strength does not come from winning. Your struggles develop your strengths. When you go through hardships and decide not to surrender, that is true strength.” – Arnold Schwarzenegger