## Recently Published

##### Spectral Tuning of LGN Responses

another loess smoothing application.
smoothed responses on LGN neurons to stimuli with different wavelengths of light

##### Orientation tuning in V1 Neurons

a loess smoothing application.
smoothed response histograms to different orientations are visualized to demonstrate tuning properties for V1 neurons

##### Retinal Ganglion Cell classes

using linear regression to demonstrate a physiological difference between retinal gagnlion cell classes using a classic data set

##### Build Wireframes & Lo-fi Prototypes

Notes from Google UX Design: Course 3

##### Dark Adaptation

Modelling the time course of dark adaptation with a classic psychophysics dataset.

##### Modelling Daily US COVID deaths

autoregression, OLS (lm) and GLS methods in R

##### UX Design Process: Empathize, Define, and Ideate

Notes from Google UX Design: Course 2

##### Foundations of UX Design

Notes from Google UX Design: Course 1

##### Weber's Law

Linear Relationships in Psychophysics and how to Model them with `R` in the tidyverse

##### Building web apps with shiny in R

Notes from videos and exercises for DataCamp's Shiny Fundamentals with R. This is a casual follow along to help me remember all the things and to serve as future reference.

##### Extending the Linear Model with R

notes from readings in ‘Extending the Linear Model with R’ by Julian Faraway for the course DATA621, ‘Business Analystics and Data Mining’ as part of the Masters of Science in Data Science program at CUNY SPS.

##### Cost Curves as an ROC Alternative

an quick introduction to cost curves as an alternative to ROC curves. for data621 discussion.

##### Performance of 2-Way Classifiers

notes for applied predictive modeling

##### Imputation with simputation & filling in the gaps

a short discussion post to facilitate dealing with missing values, imputation and understanding why imputation with regression is better than to the mean

##### Dealing with Missing Data in R

Notes from videos and exercises for DataCamp's Statistics with R track. This is a casual follow along to help me remember all the things and to serve as future reference.

##### Sabertrics inspired multiple linear regression

Group miniproject for Business Analytics & Data Mining class.

##### Bayesian Modeling with RJAGS

Notes from videos and exercises for DataCamp's Statistics with R track. This is a casual follow along to help me remember all the things and to serve as future reference.

##### Bonferroni Correction

a short discussion post to demonstrate Bonferroni Correction

##### Inference for Categorical Data in R

Notes from videos and exercises for DataCamp's Statistics with R track. This is a casual follow along to help me remember all the things and to serve as future reference.

##### Autoregression of daily US COVID deaths

using simple sample code from LMR section 4.3 (Autoregression) to capture the weekly variation in US COVID deaths

##### Linear Algebra for Data Science in R

##### DATA621 Readings

useful table with reading & suggested problem assignments for DATA621: Business Analystics and Data Mining

##### Fundamentals of Bayesian Data Analysis in `R`

##### A Modern Approach to Regressio with R

Notes and some finished problems fro 'A Modern Approach to Regression with R' by Simon Sheather

##### Linear Models with R

Notes and some finished problems fro 'Linear Model with R' by Julian Faraway

##### Intro2PsychophysicalMethods

presentation to accompany prosem lecture w/ jupyter lab notebook

##### photometry

pre to accompany prosem lecture w/ jupyter lab notebook

##### A/B Testing in R

##### Experimental Design in R

##### Dealing with Missing Data in R

##### Foundations of Probability in R

##### Foundation of Inference

##### Multiple and Logistic Regression in R

##### Correlation and Regression in R

##### Modeling with Data in the Tidyverse

##### Exploratory Data Analysis in R

##### Introduction to Data in R

Note from videos and exercises for DataCamp's Statistics with R track. This is a casual follow along to help me remember all the things and to serve as future reference.

##### DATA605 Final Exam Problem1

Probability problem set

##### DATA605 Final Exam Problem2

kaggle housing dataset

##### DATA605 HW #14

Taylor Series Expansions

##### Discussion Week16

Partial DiffyQs

##### Discussion Week16

Taylor Series Expansion

##### Discussion Week 4

Simple calculus: find area bounded by two functions

##### DATA605 HW #13

messin around with some calculus problems

##### Beijing Air Quality

linear multiple regression to estimate fine particulates by pollutants concentrations and meteorological data.

##### DATA605 HW #12

linear regressions homework tasks with WHO data

##### Simple Multiple Linear Regression

uses the dataset: "Estimation of obesity levels based on eating habits and physical condition Data Set" to find eating habits and other parameters predictive of BMI

##### DATA605 HW #11

simply simple linear regression + diagnostics

##### Lego Linear Regression

just a simple linear regression using the lego set datast from kaggle

##### Discussion Week10

Absorbing Markov Chain

##### DATA605 HW#10

Markov Chain

##### DATA605 HW#9

central limit theorem etc.

##### Discussion Week9

9.3.2

##### Discussion Week8

Chebyshev's Inequality 8.2.10

##### Discussion Week6

conditional and joint probabilities

##### DATA605 HW#6

Combinatronics & Probabilities

##### Discussion Week5

Introduction to Probability: Continuous Density Functions exercise

##### DATA605 HW#5

Uniformly distributed random numbers

##### Matrix Representation

Discussion Week4: Compute the matrix representation of T relative to the bases B and C

##### DATA605 HW#4

Inverse of a Matrix & Single Value Decomposition

##### Eigenvalue/vector Example

Discussion Week3 for Eigenvalues & Eigenvetors

##### DATA605 HW #3

Eigenvalues & Eigenvectors

##### DATA605 HW#2

Trace, Determinant & Factorization

##### DATA605 HW#1

Vectors, Matrices & Systems of Equations

##### RPSLS Simulation

A simple python simulation of a game of chance

##### FEMA Disaster Declarations: visualization & polynomial regression

The FEMA Disaster Declaration Summary dataset holds a record for every declaration of natural emergency since the early 1950. This analysis tours the dataset and models the duration of declaration over the years.

##### COVID-19 Mortality in US Counties Presentation

Slides for project presentation

##### COVID-19 Mortality in US Counties

a look at COVID-19 deaths by county and comparison with mortality rates for other leading causes of death in the US

##### Tidyverse Extend

my extension of Nilsa Bermudez' assignment. Part of a group project to practice version control with group collaboration. Here, I just added some text and a brief chunk of code to use tidyr & dplyr methods

##### Recommender Systems Summary

A brief overview and UX glance at MovieLens

##### NLP of MLP: My Little Pony text mining

follows chapter2: Sentiment Analysis with Tidy Data in Text Mining with R using the My Little Pony transcript data set from kaggle.com. Here the nlp R libraries tidytext and syuzhet are used to weight positive and negative sentiments with respect to narrative duration and character.

##### purrr list filtering functions

Tidyverse vignette to demonstrate purrr list filtering function: pluck(), compact(), keep() & more

##### FEMA Disaster Declarations Project Proposal

Project proposal and preliminary descriptive stats for an analysis of turn-around time duration for different classifications of disasters.

##### NYTs' Best Selling Manga

R code to directly access information from the New York Times Books API, read in the JSON data to an R DataFrame, 'tidy' the data with tidyverse methods and visualize the results

##### Github Step-by-Step

fork a github repository, commit contributions & send a pull request

##### Scraping Reddit Comments

Some vary basic web scraping of reddit comments using the redditExtractoR library and text mining with the 'tm' library to create a wordcloud of most frequent words.

##### Alphabet Soup: HTML, XML & JSON in R

This demo will focus on reading and writing web data formats (.html, .xml & .json) in R. However, we will start by scraping data on several books from the MIT Press website.

##### Melting an R data.frame with dplyr & tidyr methods

This demo walks through reading & writing a .csv file before 'tidying' a dataset using methods from dplyr and tidyr libraries.

##### Video Games Sales 2019

Video Game Sales 2019 Dataset from Kaggle is tidied w/ dplyr & tidyr. ggplot is used to visualize the data

##### Chord Diagram Visualization of UN Migration Data

The UN International Migration Dataset is tidied w/ dplyr & tidyr. circlize is then used to visualize the data as a chord diagram

##### Tidying & Transforming Data

beginning with a small but really quite messy .csv file, use methods from tidyr & dplyr to clean the data and then perform some brief analysis & visualizations

##### Wrangling Text Data from a Chess Tournament

Given a text file with chess tournament results where the information has some structure, this R Markdown file generates a .CSV file that summarizes information from each player.

##### DATA607: R Character Manipulation

working with character strings and dates in R.

##### DATA607: SQL & R

loading information from a SQL database into an R dataframe

##### DATA607_Assigment1

Loading Data Into a Dataframe

##### DATA606_Lab1

Introduction to R and RStudio for DATA606 Spring Semester 2020

##### A Prussian Poisson Process

Demonstrating a Poisson distribution with a classic data set: the von Bortkeiwicz Prussian horse-kicking data

##### Week 2 Homework

This R markdown document completes the homework assignment for week 2 of the R Bridge tutorial for the MSDS2020 Winter Bridge program

##### Week1 Homework

This R markdown document completes the homework assignment for week 1 of the R Bridge tutorial for the MSDS2020 Winter Bridge program.