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DNS Resolutions
Date
IP Address
2018-03-09
151.101.45.147
(
ClassC
)
2024-08-24
185.199.109.153
(
ClassC
)
Port 80
HTTP/1.1 301 Moved PermanentlyConnection: keep-aliveContent-Length: 162Server: GitHub.comContent-Type: text/htmlpermissions-policy: interest-cohort()Location: https://adamwlev.github.io/X-GitHub-Request-Id: EB19:350BC7:2F4D52D:307E21B:66C9899AAccept-Ranges: bytesAge: 0Date: Sat, 24 Aug 2024 07:19:54 GMTVia: 1.1 varnishX-Served-By: cache-bfi-kbfi7400046-BFIX-Cache: MISSX-Cache-Hits: 0X-Timer: S1724483994.180343,VS0,VE70Vary: Accept-EncodingX-Fastly-Request-ID: 8252f720273fcc9e8b09b3eb795b1013308f7950 html>head>title>301 Moved Permanently/title>/head>body>center>h1>301 Moved Permanently/h1>/center>hr>center>nginx/center>/body>/html>
Port 443
HTTP/1.1 200 OKConnection: keep-aliveContent-Length: 11051Server: GitHub.comContent-Type: text/html; charsetutf-8permissions-policy: interest-cohort()Last-Modified: Sun, 04 Dec 2022 14:11:41 GMTAccess-Control-Allow-Origin: *ETag: 638caa9d-2b2bexpires: Sat, 24 Aug 2024 07:29:54 GMTCache-Control: max-age600x-proxy-cache: MISSX-GitHub-Request-Id: BEC3:1109:1369CBE:13E5695:66C9899AAccept-Ranges: bytesAge: 0Date: Sat, 24 Aug 2024 07:19:54 GMTVia: 1.1 varnishX-Served-By: cache-bfi-kbfi7400072-BFIX-Cache: MISSX-Cache-Hits: 0X-Timer: S1724483994.291522,VS0,VE73Vary: Accept-EncodingX-Fastly-Request-ID: a9bef18a80b25c0f8eee27f3858d287e8c1048c8 !DOCTYPE html>html> head> title>Adams Blog – /title> meta charsetutf-8 /> meta contenttext/html; charsetutf-8 http-equivContent-Type> meta http-equivX-UA-Compatible contentIEedge> meta nameviewport contentwidthdevice-width, initial-scale1.0, maximum-scale1.0> meta namedescription content > meta propertyog:description content /> meta nameauthor contentAdams Blog /> !--if lt IE 9> script srchttp://html5shiv.googlecode.com/svn/trunk/html5.js>/script> !endif--> link relstylesheet typetext/css href/style.css /> link relalternate typeapplication/rss+xml titleAdams Blog - href/feed.xml /> !-- Created with Jekyll Now - http://github.com/barryclark/jekyll-now --> /head> body> div classwrapper-masthead> div classcontainer> header classmasthead clearfix> a href/ classsite-avatar>img srchttps://avatars2.githubusercontent.com/u/6889910?v3&s460 />/a> div classsite-info> h1 classsite-name>a href/>Adams Blog/a>/h1> p classsite-description> /p> /div> nav> a href/>Blog/a> a href/about>About/a> /nav> /header> /div> /div> div idmain rolemain classcontainer> div classposts> article classpost> h1>a href/A-More-Objective-College-Football-Ranking-System/>A More Objective College Football Rankings System/a>/h1> div classentry> I built on a published ranking system to evaluation the CFP selection comittees current rankings objectively. /div> a href/A-More-Objective-College-Football-Ranking-System/ classread-more>Read More/a> /article> article classpost> h1>a href/How-Common-Are-You/>How Common Are You? Visualizing US Census Data/a>/h1> div classentry> I used D3.js and JQuery to build an interactive data visualization with US Census Data. /div> a href/How-Common-Are-You/ classread-more>Read More/a> /article> article classpost> h1>a href/Training-and-Deploying-an-Image-Captioning-System/>Training and Deploying an Image Captioning System/a>/h1> div classentry> I used Deep Learning - a mix of pretrained components and trained from scratch components - to build an image captioning system from Microsofts COCO dataset using Pytorch and deployed it to AWS. /div> a href/Training-and-Deploying-an-Image-Captioning-System/ classread-more>Read More/a> /article> article classpost> h1>a href/Do-NBA-Game-7s-Have-Lower-Shooting-Percentages/>Do NBA Game 7s Have Lower Shooting Percentages?/a>/h1> div classentry> I collected some data and got to the bottom of it. /div> a href/Do-NBA-Game-7s-Have-Lower-Shooting-Percentages/ classread-more>Read More/a> /article> article classpost> h1>a href/Can-you-predict-congressional-elections-using-Tweets-Part-2/>Can you predict congressional elections using Tweets? Part 2/a>/h1> div classentry> I used a model trained on tweets from the month prior to the 2014 Congressional Elections to predict the outcome of the 2016 races. /div> a href/Can-you-predict-congressional-elections-using-Tweets-Part-2/ classread-more>Read More/a> /article> article classpost> h1>a href/Can-you-predict-congressional-elections-using-Tweets/>Can you predict congressional elections using Tweets?/a>/h1> div classentry> I harvested some tweets from the month prior to the 2014 Congressional Elections and used them to predict the outcome of the races. /div> a href/Can-you-predict-congressional-elections-using-Tweets/ classread-more>Read More/a> /article> article classpost> h1>a href/Public-Data-Munging-Exploring-the-Gender-Wage-Gap-for-Iowa-State-Employees/>Public Data Munging - Exploring the Gender Wage Gap for Iowa State Employees/a>/h1> div classentry> Are men paid more than women for the same work? Its a complicated question. I do my best to do this complex question justice. /div> a href/Public-Data-Munging-Exploring-the-Gender-Wage-Gap-for-Iowa-State-Employees/ classread-more>Read More/a> /article> article classpost> h1>a href/World-Series-Math/>World Series Math/a>/h1> div classentry> What are the chances of the world series going 7 games? 6 games? 5 games? /div> a href/World-Series-Math/ classread-more>Read More/a> /article> article classpost> h1>a href/Polling-Meets-Machine-Learning/>Polling Meets Machine Learning/a>/h1> div classentry> What I think about the current standard of polling and how it could be improved. /div> a href/Polling-Meets-Machine-Learning/ classread-more>Read More/a> /article> article classpost> h1>a href/Visualizing-Bayes-Theorem-with-D3/>Visualizing Bayes Theorem with D3/a>/h1> div classentry> Visualize a Bayesian update of a Normal Random Variable. /div> a href/Visualizing-Bayes-Theorem-with-D3/ classread-more>Read More/a> /article> article classpost> h1>a href/Ryder_Cup_Individual_Grades/>Grading the Individual Performances at the Ryder Cup/a>/h1> div classentry> How well did each of the Ryder Cup competitors perform as individuals? I use Ridge Regularization to help find the answer. /div> a href/Ryder_Cup_Individual_Grades/ classread-more>Read More/a> /article> article classpost> h1>a href/Topics-Tweeted-About-Rio-Olympics/>Topics Tweeted About the Rio Olympics/a>/h1> div classentry> My process of employing unsupervised learning techniques to summarize the topics tweeted about the Rio Olympics. /div> a href/Topics-Tweeted-About-Rio-Olympics/ classread-more>Read More/a> /article> article classpost> h1>a href/Investigating-the-Salaries-of-Baseball-Hall-of-Famers/>Investigating the Salaries of Baseball Hall of Famers/a>/h1> div classentry> How have the Salaries of Hall of Famers changed over time? Who is highest paid Hall of Famer? /div> a href/Investigating-the-Salaries-of-Baseball-Hall-of-Famers/ classread-more>Read More/a> /article> article classpost> h1>a href/Predicting-A-Movies-Opening-Weekend-Success-Using-Tweets/>Predicting A Movies Opening Weekend Success Using Tweets/a>/h1> div classentry> How well can we predict the opening weekend box office gross from observing tweets for a week before opening night? /div> a href/Predicting-A-Movies-Opening-Weekend-Success-Using-Tweets/ classread-more>Read More/a> /article> article classpost> h1>a href/NYC-Subway-Ridership-Across-the-Days-of-the-Week/>NYC Subway Ridership Across the Days of the Week/a>/h1> div classentry> On my way to Metis this Friday morning, I noticed the 6 train, which is normally a complete zoo at 8:30 am, was relatively calm. Id like to investigate whether this was due to the upcoming holiday weeknd, or if this is just a general phenomena on Fridays. /div> a href/NYC-Subway-Ridership-Across-the-Days-of-the-Week/ classread-more>Read More/a> /article> article classpost> h1>a href/Just-how-likely-is-it-that-Governor-Robert-Bentley-had-an-affair-with-his-top-official/>Just how likely is it that Governor Robert Bentley had an affiar with his top official?/a>/h1> div classentry> I use Bayes Theorem to reason about this question. /div> a href/Just-how-likely-is-it-that-Governor-Robert-Bentley-had-an-affair-with-his-top-official/ classread-more>Read More/a> /article> article classpost> h1>a href/To-Gamble-or-Not-to-Gamble-in-Kaggles-March-Madness-Competition/>To Gamble or Not to Gamble in Kaggles March Madness Competition/a>/h1> div classentry> I use simulation in R to investigate the optimal strategy for placing in the top 5 in this Kaggle competition. /div> a href/To-Gamble-or-Not-to-Gamble-in-Kaggles-March-Madness-Competition/ classread-more>Read More/a> /article> article classpost> h1>a href/How-to-Build-a-Position-in-Prediction-Markets/>How to Build a Position in Prediction Markets/a>/h1> div classentry> So youre thinking of playing the Prediction Markets? Let me help you build the optimal position according to your beliefs, the price of the market, and your desired level of risk. /div> a href/How-to-Build-a-Position-in-Prediction-Markets/ classread-more>Read More/a> /article> article classpost> h1>a href/Bernies-got-49.6-,-Hilarys-got-49.8-,-90-of-the-precincts-are-reporting,-DOES-BERNIE-STILL-HAVE-A-CHANCE/>Bernies got 49.6%, Hilarys got 49.8%, 90% of the precincts are reporting, DOES BERNIE STILL HAVE A CHANCE?/a>/h1> div classentry> I used Python to answer this question in a few different ways. Frequestist, Bayesian, exact, and simulation. /div> a href/Bernies-got-49.6-,-Hilarys-got-49.8-,-90-of-the-precincts-are-reporting,-DOES-BERNIE-STILL-HAVE-A-CHANCE/ classread-more>Read More/a> /article> /div> /div> div classwrapper-footer> div classcontainer> footer classfooter> a hrefmailto:adamlevin44@gmail.com>i classsvg-icon email>/i>/a>a hrefhttps://github.com/adamwlev>i classsvg-icon github>/i>/a>a hrefhttps://www.linkedin.com/in/adam-levin-8055164b>i classsvg-icon linkedin>/i>/a>a hrefhttp://stackoverflow.com/users/5552894/adamwlev>i classsvg-icon stackoverflow>/i>/a> /footer> /div> /div> !-- Google Analytics --> script> (function(i,s,o,g,r,a,m){iGoogleAnalyticsObjectr;irir||function(){ (ir.qir.q||).push(arguments)},ir.l1*new Date();as.createElement(o), ms.getElementsByTagName(o)0;a.async1;a.srcg;m.parentNode.insertBefore(a,m) })(window,document,script,//www.google-analytics.com/analytics.js,ga); ga(create, UA-80198387-1, auto); ga(send, pageview, { page: /, title: }); /script> !-- End Google Analytics --> /body>/html>
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