Welcome to the website of Elijah Z. Bernstein-Cooper.

You will quickly find that I pursue a diverse set of interests. The common theme amongst all of my endeavors however, is the attention to quality.

Curiosity drives my pursuit to develop questions, models, or code. Explore this site and you'll see diversity in my explorations of data science. Visit my blogs on different data science projects, or explore the extensive Python code I've developed to accomplish various projects.

I outline my steps to predict user interest in traveling for Air B&B. I adopt a neural network regression routine in Python to predict which country a user will travel to next.

Map of dust of three molecular clouds in our own galaxy. Adopted Bayesian priors to identify the dense cores shown as white crosses.

Outlines steps to build this site locally on Fedora with Jekyll.
Show the status and branch of your git repo by the color of bash prompt.

Various Python modules for plotting, data analysis, and data reduction.

### Below are the most recent posts from each of my blogs

Below are results from using different $A_V$ maps. See yesterdayâ€™s post for how regions are chosen and comparison with Lee+12. Each $A_V$ map leads to similar DGRs, however the K+09 map yields a slightly larger HI width. This leads to $\Sigma_{HI}$ thresholds similar to Lee+12.

Below are results from Planck $A_V$. We can see that the $\Sigma_{HI}$ thresholds are quite low compared to those found in Lee+12.

I have found systematically negative $\Sigma_{H2}$ in California. Below is an example histogram of the $\Sigma_{H2}$ calculated during a monte carlo simulation for a single core. These values are obviously unphysical.

Jouni Kainulainen shared 2MASS Av image with us today. He provided the following warning:

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