Analysis of UCI Food Recommender

Recommender system comparison NOTE THE SEED WAS ALTERED BEFORE THE PUSH SOME ERROR SCORES AND INTERPRETATIONS HAVE CHANGED

Air BnB Trip Matcher Decomposition

Variable exploration

This is it! I will post a video as soon as possible!

Solve for a partial derivative at the point (1,2)

Problem 8.8.5 using Pracma package in R

I chose to illustrate the 10th problem in section 4.1 in our text of newton's Method using the `animation` package in R.

UC Irvine Forest Fires Data - Regression Analysis

Markov Chains

Data 605 Week 8 Discussion Chapter Discrete Probabilities

Problem 13 from page 199 in text. Feel free to give feedback!

License Plates - page 89

I chose to see if a random walk in 3D space ever brings you home!

C 25 from Page 473 in the Paper Copy

Question C20 on page 415

Question C.21 page 305 of First Course in Linear Algebra - Beezer, V 2.02

I added a cool version with matlib echelon that shows how the reduction was accomplished.

This is just the PRACMA package solution of problem C10 on page 41 of the text book, using RREF method

Nanigans Interview

Crop Models

This is the initial model in on ongoing series of weather data, which is being submitted as the final project for Data 607 in the MS Data Science program.

This is the current working version of my final project.

Data 607 week 12 assignment

This is a simple description of my final project proposal, extreme weather as a predictor of damage, injury and loss.

This is my rMarkdown Document for week 11 discussion

This is my assignment for using the API to extract data from New York Times web portal and converting it to a data frame.

This is the group project for fall semester 2017 DATA 607 Project # 3. Our group members were Lidiia, Peter, Fahad & Bethany

A simple explanation of Age Adjusting. You can translate this into a function in any programming language.

This is the data models assignment where we created data in HTML, JSON and XML then converted it to an R data frame. The raw data files can be found in my github repository at: https://raw.githubusercontent.com/bpoulin-CUNY/Data607/master/books.csv https://raw.githubusercontent.com/bpoulin-CUNY/Data607/master/books.html https://raw.githubusercontent.com/bpoulin81/Data607/ac48db2df3ec30fb48cd2fa18effcc7b428b4f4a/books.json https://raw.githubusercontent.com/bpoulin-CUNY/Data607/master/books.xml

This is just an rMarkdown presentation of homework problem 4.13 from OpenIntroStatistics

This is a series of web scrapings and API calls restructured using Tidy methods and best practices.

This dashboard , born out of curiosity and a sense of social justice is an adaptation of a work project for New Hampshire Department of Health and Human Services

This is the html version of the Tidy Data Assignment for week 5. The code links directly to the csv file on my public Github page where the script will automatically grab the data. If you have another source in the same structure, you can substitute that link to test this script on. the flexdashboard windows should adjust to show more data and the page will scroll to accommodate longer charts and tables .

This is the acquisition and cleaning of the chess.text data and the creation of a working CSV which could be imported into SQL tables for analysis and storage. The .csv file is located in Github if you would like to try this yourself. https://raw.githubusercontent.com/bpoulin-CUNY/Data607/master/chess.txt

String manipulation