books in 2020
Another year, another long list! My goal was 120 for the year, and I got to 126 (plus three or four books that I re-read ….) I had thought that maybe with COVID, I’d have surpassed my 2019 count by leaps and bounds, but that’s not the case. I think work takes a lot of
kindle #3 (or is it #4?)
Back in 2008, we bought our first Kindle in preparation for a 20 day trip to Japan. I was unsure whether or not we’d use it after the trip. And, of course, we did. But generally only while traveling. Otherwise, it was still physical books for most else. Our homeschooling books we bought as both
La rentrรฉe!
It is time for back-to-school once again! This year, back-to-school is quite different from all the years before. The girls were homeschooled for a while, then one went to school and the other didn’t, then they were both in school, then the other one didn’t go to school, then one was in college and then
day 20 – senior year.
Senior year! Exams. Prom. Tears. Pomp and Circumstance. Parties. Graduation. Yearbooks. But not for this year’s seniors. Last days of school via Zoom. No gatherings – so no prom, no graduation, no parties. No gifts. Chloe this week did have her senior portraits taken, but only from over 6ft. And she got a big “lockdown”
she’ll be a scottie.
Despite not having all of her acceptances in, Chloe made the big step and committed to attending Agnes Scott for college. I’m very excited for her!!
books in 2019
Another year, another long list! My goal was 120 for the year, and I got to 122 (plus three or four books that I’ve almost finished and will count for 2020 …. Having “rediscovered” my Kindle in 2018 — a now 5 year old Kindle Fire, not our our fist one — and the CLAMS
making connections.
Recently, I’ve added German to my daily Duolingo routine. Many of my coworkers are German as are some of our customers. I always saw German as an impossible language, but, at least at the beginner’s level, it is not so complicated. One thing I’ve found with learning German is that it helps me with making
the most exciting time of the year.
It is getting real! Chloe has now been accepted at three different colleges! She’s still waiting for a few more, but the decision is going to be very tough! But, it is nice to have choices….
not my job.
In some ways, it is *exactly* my job. But in oh so many ways, it is not. The other day, I received this comment on my blog post about DOcplex: Even when I followed your method, I got the following errors: DOcplexExceptionTraceback (most recent call last) in () 1 mdl.print_information() … DOcplexException: CPLEX runtime not
project 4: west nile virus
For this project we were tasked with predicting the presence of West Nile Virus in traps in Chicago. This was a group project. View the full notebook.
the data will out.
Over a month ago (how time flies), we were asked to pull together three ideas for a “Capstone” project for my General Assembly Data Science Immersive class. I was not feeling particularly inspired at the time and searched for data sets within my non-academic interests. I proposed three datasets (not projects): AirBnB in Paris, NYC
rabbit holes.
Despite my “ace” upon entering the Data Science bootcamp (the goal is typically a job placement, but I was fortunate enough to have that already in hand), I was not going to let my luck prevent me from dedicating myself to the class that I had been coveting for so long….even though the time and
scraping weather data.
As I explored the data for my Data Science Immersive Capstone project, I realized with much disappointment that the data was simply not as I interesting as I had hoped it might be. While there were some predictions and inferences I would be able to make, the data did not lead to much in the
resources for data science.
As I mentioned in Balancing the Boat, I have been following the growth of Data Science for years. I never had the time to dive deep, but the desire was always there. Through the journey of learning about Data Science, I have gathered a number of resources. I hope that by gathering them together here
python: generalized pipeline
For my latest General Assembly Data Science Immersive project (http://gobbledygoon.com/2018/09/project-3-reddit-predictions/), I wanted to test a whole bunch of different classification models on my data very quickly. I admit that I have a few organizational “rabbit holes” (I like to think these are GOOD things when it comes to coding): Never type anything twice…. Boring. If
project 3: reddit predictions
For this project we were tasked with predicting on which of two subreddits a post was made.
balancing the boat.
For the past few years, life has been all about re-balancing the boat after surge after surge. But one thing had been constant: my job. While my “in country managers” and reporting structure was always changing, I was working with the same group that I had been working with for 21 years. It was staable,
project 2: ames housing data
For this project we are tasked with making sales price predictions for house sales in Ames, Iowa, based on certain characteristics.
Project 1: College test participation rates
For our first project, we’re going to take a look at SAT and ACT scores around the United States. Suppose that the College Board – the organization that administers the SAT – seeks to improve the participation rate of its exams. Your presentation should be geared toward **non-technical** executives with the College Board and you
smith. – 24 feb 2017
We looked at every college in the nation and few schools outside the country. We visited dozens. She applied to ten. She was accepted at most. Three made the final cut. But when I saw her face that day in February, I knew. She’s a Smithie!
GBK Gwyneth
instagramming
2023 photos
reading
2022 photos
2021 photos
