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Domain > adalal80.github.io
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DNS Resolutions
Date
IP Address
2018-04-22
151.101.129.147
(
ClassC
)
2018-04-22
151.101.193.147
(
ClassC
)
2018-04-22
151.101.65.147
(
ClassC
)
2024-08-24
185.199.110.153
(
ClassC
)
Port 80
HTTP/1.1 301 Moved PermanentlyConnection: keep-aliveContent-Length: 162Server: GitHub.comContent-Type: text/htmlpermissions-policy: interest-cohort()Location: https://adalal80.github.io/X-GitHub-Request-Id: D112:17D02F:570CCC:59A4B2:66C9D56CAccept-Ranges: bytesAge: 0Date: Sat, 24 Aug 2024 12:43:24 GMTVia: 1.1 varnishX-Served-By: cache-bfi-krnt7300046-BFIX-Cache: MISSX-Cache-Hits: 0X-Timer: S1724503405.832891,VS0,VE60Vary: Accept-EncodingX-Fastly-Request-ID: 72649f88385d3e1a63a0cda66428df7bf87ccb0d 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: 13878Server: GitHub.comContent-Type: text/html; charsetutf-8permissions-policy: interest-cohort()Last-Modified: Thu, 06 Oct 2022 01:28:12 GMTAccess-Control-Allow-Origin: *Strict-Transport-Security: max-age31556952ETag: 633e2f2c-3636expires: Sat, 24 Aug 2024 10:51:39 GMTCache-Control: max-age600x-proxy-cache: MISSX-GitHub-Request-Id: 9863:16BEC4:4EF1EB4:5114D02:66C9B8E3Accept-Ranges: bytesAge: 0Date: Sat, 24 Aug 2024 12:43:25 GMTVia: 1.1 varnishX-Served-By: cache-bfi-krnt7300029-BFIX-Cache: HITX-Cache-Hits: 0X-Timer: S1724503405.936613,VS0,VE94Vary: Accept-EncodingX-Fastly-Request-ID: d20b040684c1afc2c1e318f12c56b17f87d10e7d !DOCTYPE html>html> head> meta charsetutf-8> meta http-equivX-UA-Compatible contentIEedge> meta nameviewport contentwidthdevice-width, initial-scale1> title>Amish Dalal/title> meta namedescription contentBlogging topics surrounding Big Data and Statistical Analysis using Python> link hrefhttps://fonts.googleapis.com/css?familyPT+Sans:400,700,400italic,700italic|Source+Sans+Pro:400,700,200,300|Josefin+Sans:400,600,700,300 relstylesheet typetext/css> link hrefhttps://maxcdn.bootstrapcdn.com/font-awesome/4.5.0/css/font-awesome.min.css relstylesheet> link relstylesheet href/css/style.css> link relcanonical hrefhttp://adalal80.github.io/> link relalternate typeapplication/rss+xml titleAmish Dalal hrefhttp://adalal80.github.io/feed.xml>/head> body> div classwrapper> center> a href/index.html>div classsite-title> Amish Dalal /div>/a>/center>/div>div classwrapper site-description>center> Blogging topics surrounding Big Data and Statistical Analysis using Python /center>/div>div classwrapper> div classtrigger site-navigation> a classpage-link hrefhttp://adalal80.github.io>HOME/a>span classexclamationMark>//span> a classpage-link href/about/>About/a>span classexclamationMark>//span> a classpage-link href/design/>Design/a>span classexclamationMark>//span> a classpage-link href/download/>Download/a>span classexclamationMark>//span> a classpage-link href/Other/>Other/a>span classexclamationMark>//span> /div>/div> div classpage-content> div classwrapper> div classhome> div classpost postContent> div classpostDate>time datetime2022-10-05T00:00:00+00:00 itempropdatePublished>Oct 5, 2022/time> /div> div classpostDay> /div> br> div classpostTitle> a classpostLink hrefhttp://adalal80.github.io/2022/10/05/usa_real_estate.html>USA Real Estate - Predicting Sales Price?/a> /div> div classpostExt> Predicting Price in USA Real Estate Market In this exercise, we will use regression techniques on housing market in the... /div> /div> div classpost postContent> div classpostDate>time datetime2022-09-18T00:00:00+00:00 itempropdatePublished>Sep 18, 2022/time> /div> div classpostDay> /div> br> div classpostTitle> a classpostLink hrefhttp://adalal80.github.io/2022/09/18/Employee_Attrition.html>Predicting Attrition in Healthcare Industry?/a> /div> div classpostExt> Predicting Attrition in Healthcare Industry In this exercise, classification models will be used to answer what factors lead to employee... /div> /div> div classpost postContent> div classpostDate>time datetime2022-09-12T00:00:00+00:00 itempropdatePublished>Sep 12, 2022/time> /div> div classpostDay> /div> br> div classpostTitle> a classpostLink hrefhttp://adalal80.github.io/2022/09/12/AirBnB_EDA.html>AirBnB Open Data EDA/a> /div> div classpostExt> AirBnB Open Data Exploratory Data AnalysisTBD /div> /div> div classpost postContent> div classpostDate>time datetime2017-01-06T00:00:00+00:00 itempropdatePublished>Jan 6, 2017/time> /div> div classpostDay> /div> br> div classpostTitle> a classpostLink hrefhttp://adalal80.github.io/2017/01/06/Predicting_Employee_Leaving.html>Why Do Good Employees Leave?/a> /div> div classpostExt> Why Do Good Employees Leave? This analysis looks what which employees with a high evaluation score will leave the company.... /div> /div> div classpost postContent> div classpostDate>time datetime2016-12-11T00:00:00+00:00 itempropdatePublished>Dec 11, 2016/time> /div> div classpostDay> /div> br> div classpostTitle> a classpostLink hrefhttp://adalal80.github.io/2016/12/11/NYC_STR.html>Short-Term Rental Platform vs Long-Term Tenant: Evaluating Expected Profits/a> /div> div classpostExt> Introduction/Summary Short-term rental industry as of late as been a big focus for the sharing economy and local and state... /div> /div> div classpost postContent> div classpostDate>time datetime2016-11-08T00:00:00+00:00 itempropdatePublished>Nov 8, 2016/time> /div> div classpostDay> /div> br> div classpostTitle> a classpostLink hrefhttp://adalal80.github.io/2016/11/08/KMeansPCAAirport.html>KMeans++ Cluster Analysis using PCA on Airport Delays/a> /div> div classpostExt> KMeans++ Cluster Analysis using PCA on Airport Delays This analysis investigates operations of major airports around the country to understand... /div> /div> div classpost postContent> div classpostDate>time datetime2016-11-01T00:00:00+00:00 itempropdatePublished>Nov 1, 2016/time> /div> div classpostDay> /div> br> div classpostTitle> a classpostLink hrefhttp://adalal80.github.io/2016/11/01/IMDB.html>Classification Model of Predicting Movie Ratings Prior to Being Released/a> /div> div classpostExt> Predicting Movie Ratings Prior to being Released What factors determine a high-rating for a movie? This analysis investigates features that... /div> /div> div classpost postContent> div classpostDate>time datetime2016-10-25T00:00:00+00:00 itempropdatePublished>Oct 25, 2016/time> /div> div classpostDay> /div> br> div classpostTitle> a classpostLink hrefhttp://adalal80.github.io/2016/10/25/Titanic_Disaster.html>A Classification Analysis of Titanic Survivors/a> /div> div classpostExt> A Classification Analysis of Titanic Survivors This project examines the probability of survival in the Titanic disaster using Classification models.... /div> /div> div classpost postContent> div classpostDate>time datetime2016-10-19T00:00:00+00:00 itempropdatePublished>Oct 19, 2016/time> /div> div classpostDay> /div> br> div classpostTitle> a classpostLink hrefhttp://adalal80.github.io/2016/10/19/DataScienceSalaries.html>Predicting Data Scientist Salaries Using Logistic Regression/a> /div> div classpostExt> Predicting Data Scientist Salaries Using Logistic Regression Scenario involves being a data scientist contracted by a firm that is rapidly... /div> /div> div classpost postContent> div classpostDate>time datetime2016-10-12T00:00:00+00:00 itempropdatePublished>Oct 12, 2016/time> /div> div classpostDay> /div> br> div classpostTitle> a classpostLink hrefhttp://adalal80.github.io/2016/10/12/IowaLiquorSales.html>Iowa Liquor Market Research: Evaluation of New Market Entry/a> /div> div classpostExt> Iowa Liquor Market Research for New Store Locations Scenario involves a client, who is a liquor store owner in Iowa,... /div> /div> div classpost postContent> div classpostDate>time datetime2016-10-04T00:00:00+00:00 itempropdatePublished>Oct 4, 2016/time> /div> div classpostDay> /div> br> div classpostTitle> a classpostLink hrefhttp://adalal80.github.io/2016/10/04/Project2.html>Evaluating Year 2000 Billboard Top 100 Data Set/a> /div> div classpostExt> Evaluation of the Year 2000 Billboard Data Set The Year 2000 Billboard Data Set was analyzed as part of Project... /div> /div> !--ul classpost-list> li> span classpost-meta-main>Oct 5, 2022/span> h2> a classpost-link-main href/2022/10/05/usa_real_estate.html>USA Real Estate - Predicting Sales Price?/a> /h2> /li> li> span classpost-meta-main>Sep 18, 2022/span> h2> a classpost-link-main href/2022/09/18/Employee_Attrition.html>Predicting Attrition in Healthcare Industry?/a> /h2> /li> li> span classpost-meta-main>Sep 12, 2022/span> h2> a classpost-link-main href/2022/09/12/AirBnB_EDA.html>AirBnB Open Data EDA/a> /h2> /li> li> span classpost-meta-main>Jan 6, 2017/span> h2> a classpost-link-main href/2017/01/06/Predicting_Employee_Leaving.html>Why Do Good Employees Leave?/a> /h2> /li> li> span classpost-meta-main>Dec 11, 2016/span> h2> a classpost-link-main href/2016/12/11/NYC_STR.html>Short-Term Rental Platform vs Long-Term Tenant: Evaluating Expected Profits/a> /h2> /li> li> span classpost-meta-main>Nov 8, 2016/span> h2> a classpost-link-main href/2016/11/08/KMeansPCAAirport.html>KMeans++ Cluster Analysis using PCA on Airport Delays/a> /h2> /li> li> span classpost-meta-main>Nov 1, 2016/span> h2> a classpost-link-main href/2016/11/01/IMDB.html>Classification Model of Predicting Movie Ratings Prior to Being Released/a> /h2> /li> li> span classpost-meta-main>Oct 25, 2016/span> h2> a classpost-link-main href/2016/10/25/Titanic_Disaster.html>A Classification Analysis of Titanic Survivors/a> /h2> /li> li> span classpost-meta-main>Oct 19, 2016/span> h2> a classpost-link-main href/2016/10/19/DataScienceSalaries.html>Predicting Data Scientist Salaries Using Logistic Regression/a> /h2> /li> li> span classpost-meta-main>Oct 12, 2016/span> h2> a classpost-link-main href/2016/10/12/IowaLiquorSales.html>Iowa Liquor Market Research: Evaluation of New Market Entry/a> /h2> /li> li> span classpost-meta-main>Oct 4, 2016/span> h2> a classpost-link-main href/2016/10/04/Project2.html>Evaluating Year 2000 Billboard Top 100 Data Set/a> /h2> /li> /ul>-->/div> /div> /div> footer classsite-footer> div classwrapper> h2 classfooter-heading small-site-title>Amish Dalal/h2> div classfooter-col-wrapper> div classfooter-col footer-col-1> ul classcontact-list footer-content> li>Powered By a hrefhttp://github.com/hemangsk/Gravity>Gravity/a>/li> li>Made with i classfa fa-heart>/i> on a hrefhttp://jekyllrb.com>span stylecolor:black>{ { Jekyll } }/a>/span>/li> /ul> /div> div classfooter-col footer-col-2 footer-content> ul classsocial-media-list> li> a hrefhttps://github.com/adalal80>span classicon icon--github>svg viewBox0 0 16 16>path fill#828282 dM7.999,0.431c-4.285,0-7.76,3.474-7.76,7.761 c0,3.428,2.223,6.337,5.307,7.363c0.388,0.071,0.53-0.168,0.53-0.374c0-0.184-0.007-0.672-0.01-1.32 c-2.159,0.469-2.614-1.04-2.614-1.04c-0.353-0.896-0.862-1.135-0.862-1.135c-0.705-0.481,0.053-0.472,0.053-0.472 c0.779,0.055,1.189,0.8,1.189,0.8c0.692,1.186,1.816,0.843,2.258,0.645c0.071-0.502,0.271-0.843,0.493-1.037 C4.86,11.425,3.049,10.76,3.049,7.786c0-0.847,0.302-1.54,0.799-2.082C3.768,5.507,3.501,4.718,3.924,3.65 c0,0,0.652-0.209,2.134,0.796C6.677,4.273,7.34,4.187,8,4.184c0.659,0.003,1.323,0.089,1.943,0.261 c1.482-1.004,2.132-0.796,2.132-0.796c0.423,1.068,0.157,1.857,0.077,2.054c0.497,0.542,0.798,1.235,0.798,2.082 c0,2.981-1.814,3.637-3.543,3.829c0.279,0.24,0.527,0.713,0.527,1.437c0,1.037-0.01,1.874-0.01,2.129 c0,0.208,0.14,0.449,0.534,0.373c3.081-1.028,5.302-3.935,5.302-7.362C15.76,3.906,12.285,0.431,7.999,0.431z/>/svg>/span>span classusername>adalal80/span>/a> /li> !-- li> a hrefhttps://twitter.com/adalal80>span classicon icon--twitter>svg viewBox0 0 16 16>path fill#828282 dM15.969,3.058c-0.586,0.26-1.217,0.436-1.878,0.515c0.675-0.405,1.194-1.045,1.438-1.809c-0.632,0.375-1.332,0.647-2.076,0.793c-0.596-0.636-1.446-1.033-2.387-1.033c-1.806,0-3.27,1.464-3.27,3.27 c0,0.256,0.029,0.506,0.085,0.745C5.163,5.404,2.753,4.102,1.14,2.124C0.859,2.607,0.698,3.168,0.698,3.767 c0,1.134,0.577,2.135,1.455,2.722C1.616,6.472,1.112,6.325,0.671,6.08c0,0.014,0,0.027,0,0.041c0,1.584,1.127,2.906,2.623,3.206 C3.02,9.402,2.731,9.442,2.433,9.442c-0.211,0-0.416-0.021-0.615-0.059c0.416,1.299,1.624,2.245,3.055,2.271 c-1.119,0.877-2.529,1.4-4.061,1.4c-0.264,0-0.524-0.015-0.78-0.046c1.447,0.928,3.166,1.469,5.013,1.469 c6.015,0,9.304-4.983,9.304-9.304c0-0.142-0.003-0.283-0.009-0.423C14.976,4.29,15.531,3.714,15.969,3.058z/>/svg>/span>span classusername>adalal80/span>/a> /li> --> /ul> /div> div classfooter-col footer-col-3 site-description> p>Blogging topics surrounding Big Data and Statistical Analysis using Python/p> /div> /div> /div>/footer> /body>/html>
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