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Clinton Boys

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Clinton Boys | clintonboys.com Reviews

https://clintonboys.com

The personal website of Clinton Boys.

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1

Forecasting Australian elections III - Emma Chisit v1.0 – Clinton Boys

http://www.clintonboys.com/aus-election-model-9

Photo: Kosziusko National Park, New South Wales, 2012. I am an Australian data scientist living in Tel Aviv, just completed my PhD in pure mathematics. Forecasting Australian elections III - Emma Chisit v1.0. I’ve spent the last few months of my spare time writing code for a model. The data used by the model. The model uses the following data:. Election results data from the AEC results page. The model uses the primary votes by polling place data for each polling place in the country. I ran this basic ve...

2

Sentiment analysis of Q&A tweets II - Training a custom sentiment dictionary – Clinton Boys

http://www.clintonboys.com/qanda-tweets2

Photo: Big Sur National Park, California, 2013. I am an Australian data scientist living in Tel Aviv, just completed my PhD in pure mathematics. Sentiment analysis of Q&A tweets II - Training a custom sentiment dictionary. Rather than actual comment on the program and its contents and panel members. My training code is pretty simple, because all the real work is unfortunately with the human classifying the tweets:. This process is bound to introduce a whole bunch of subjectivity. hopefully my left-wi...

3

Sentiment analysis of Q&A tweets III - Estimating political affiliations – Clinton Boys

http://www.clintonboys.com/qanda-tweets3

Photo: Stella Maris, Haifa, Israel, 2014. I am an Australian data scientist living in Tel Aviv, just completed my PhD in pure mathematics. Sentiment analysis of Q&A tweets III - Estimating political affiliations. Posts in this series, I came up with a method of scoring the sentiment of tweets from the Q&A program. I now want to put all these pieces together to try and get a feel for the political leanings of Twitter users watching the program. Def NegativePercentage(tweet): total words = 0 bad words = 0 ...

4

Projects – Clinton Boys

http://www.clintonboys.com/projects

Photo: Hawkesbury River, New South Wales, 2014. I am an Australian data scientist living in Tel Aviv, just completed my PhD in pure mathematics. It’s an ongoing project of mine to develop a forecasting model for elections in Australia. I’ve made a number of posts on this website about the pitfalls and difficulties of coming up with such a model (starting here. I’m calling the model I’m building Emma Chisit. I wrote a primitive scraper. I wrote a trendy scraper. I wrote a tongue-in-cheek game to demonstra...

5

All Posts – Clinton Boys

http://www.clintonboys.com/posts

Photo: Nyhaven, Copenhagen, Denmark, 2012. I am an Australian data scientist living in Tel Aviv, just completed my PhD in pure mathematics. Five months of data science. It’s been more than five months since I started working as a data scientist. Since I taught myself most of the specific technical skills I needed, I thought . Emma Chisit's new home. Regression and stepwise selection. Playing with data in Excel and pandas. Forecasting Australian elections V - The tricky seats. Forecasting Australian elect...

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auselections.com auselections.com

Third forecast – Emma Chisit

http://auselections.com/third-forecast

Photo Credit: Cradle Mountain National Park, Tasmania, 2014. A data-driven model for Australian elections. The Emma Chisit model updated today because of a Newspoll released, tying the ALP and Coalition two-party preferred vote at 50-50. Although most individual seats shifted slightly in the ALP’s favour, there was no overall change in the forecasted seat count for a few reasons:. Newspoll has a pretty bad historical record and so is included in the model with a relatively low weight. February 21, 2016.

auselections.com auselections.com

Second forecast – Emma Chisit

http://auselections.com/second-forecast

Photo Credit: Cradle Mountain National Park, Tasmania, 2014. A data-driven model for Australian elections. The Emma Chisit model updated today in light of a few polls over the last few days. The seat forecast didn’t change, and no individual seats changed hands. I’ll note that during the intervening period between the first and second updates, Crikey’s Poll Bludger. Forecast updated to precisely agree with Emma. February 19, 2016. You might also enjoy ( View all posts. Using the Minimal Mistakes.

auselections.com auselections.com

All Posts – Emma Chisit

http://auselections.com/posts

A data-driven model for Australian elections. More polls and more movement towards the ALP. The Emma Chisit model updated today after a break which resulted in some changes and improvements to the model and the website. The Emma Chisit model updated today because of a Newspoll released, tying the ALP and Coalition two-party preferred vote at 50-50. Although most individual s. Emma Chisit - setup on AWS. Emma Chisit's new home. 2016 Clinton Boys. Powered by Jekyll. Using the Minimal Mistakes.

github.com github.com

clintonboys (Clinton Boys) · GitHub

https://github.com/clintonboys

Http:/ www.clintonboys.com. Sep 23, 2014. A data-driven model for Australian federal and state elections. Scrapes Google Trends data over long timescales and stitches together for daily data. Assignments from Stanford Algorithms: Design and Analysis Part 1 course. Assignments from Stanford Algorithms: Design and Analysis Part 2 course. A memory-jogger for guilty expats. 380 contributions in the last year. Summary of pull requests, issues opened, and commits. Learn how we count contributions. Aug 17 Aug 22.

auselections.com auselections.com

More polls and more movement towards the ALP – Emma Chisit

http://auselections.com/more-movement

Photo Credit: Blue Mountains, 2014. A data-driven model for Australian elections. More polls and more movement towards the ALP. The Emma Chisit model updated. Today after a break which resulted in some changes and improvements to the model and the website. Emma has been a little slow to reflect these changes, but the end result is an improvement of four seats towards the ALP: the model now has them winning 61 seats, a 6-seat improvement from their 2013 result. Proper support for third-parties. Once all t...

auselections.com auselections.com

Current forecast – Emma Chisit

http://auselections.com/current-forecast

A data-driven model for Australian elections. Current seat-by-seat forecast (Mackerras pendulum). Forecast last updated on 17/4/2016 at 4:46 AEST. 2016 Clinton Boys. Powered by Jekyll. Using the Minimal Mistakes.

auselections.com auselections.com

Emma Chisit – Emma Chisit

http://auselections.com/about

Photo Credit: Orange, New South Wales, 2013. A data-driven model for Australian elections. Emma Chisit is a data-driven model for predicting and analysing Australian federal and state elections that I’m currently developing. Emma Chisit is Australian slang for how much is it? In an Australian accent, both expressions sound exactly the same. The phrase has its origins here. What does it aim to do? The aim of the model is twofold:. How is it different from existing models? 29/3/15: As I only have a databas...

auselections.com auselections.com

Emma Chisit - setup on AWS – Emma Chisit

http://auselections.com/ec2-migration

Photo Credit: Cradle Mountain National Park, Tasmania, 2014. A data-driven model for Australian elections. Emma Chisit - setup on AWS. Today I moved Emma Chisit to an EC2 server; this way I will be able to fully automate the model. My aim is to have a fully automated model set up by the time the election draws close enough for marginal polls to start being commissioned (the inclusion of marginal polls is the real point of differentiation for the Emma Chisit model). Update its poll aggregate.

auselections.com auselections.com

First forecast – Emma Chisit

http://auselections.com/first-forecast

Photo Credit: Cradle Mountain National Park, Tasmania, 2014. A data-driven model for Australian elections. The Emma Chisit model had its official debut today: the current forecast page. Was updated today with the first forecast model. The forecast is a little basic, as the following features of the model are still missing:. Marginal polls and demographic clustering. Automatic adjustment for high-profile candidates and independents (these are currently hardcoded into the model). Things to look out for.

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Photo: Jamison Valley, New South Wales, 2014. I am an Australian data scientist and mathematician, living in Tel Aviv. Welcome to the personal website of Clinton Boys. I am an Australian mathematician and data scientist living and working in Tel Aviv. This website contains a collection of projects of mine, as well as my blog, which consists of a variety of personal and technical posts. It also features some of my photographs from my travels throughout the world. Detecting credit card fraud in Python.

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