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Title | Shep Sheppard | Breaking down the data sciencey |
Description | Shep Sheppard | Breaking down the data sciencey barriers Shep Sheppard Breaking down the data sciencey barriers Menu Home About Me Comparison of Regress |
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WebSite | sqlshep.com |
Host IP | 104.238.71.109 |
Location | United States |
Site | Rank |
US$291,143
Last updated: 2023-05-13 12:14:15
sqlshep.com has Semrush global rank of 36,354,362. sqlshep.com has an estimated worth of US$ 291,143, based on its estimated Ads revenue. sqlshep.com receives approximately 33,594 unique visitors each day. Its web server is located in United States, with IP address 104.238.71.109. According to SiteAdvisor, sqlshep.com is safe to visit. |
Purchase/Sale Value | US$291,143 |
Daily Ads Revenue | US$269 |
Monthly Ads Revenue | US$8,063 |
Yearly Ads Revenue | US$96,749 |
Daily Unique Visitors | 2,240 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
sqlshep.com. | A | 600 | IP: 104.238.71.109 |
sqlshep.com. | NS | 3600 | NS Record: ns13.domaincontrol.com. |
sqlshep.com. | NS | 3600 | NS Record: ns14.domaincontrol.com. |
sqlshep.com. | MX | 3600 | MX Record: 0 smtp.secureserver.net. |
sqlshep.com. | MX | 3600 | MX Record: 10 mailstore1.secureserver.net. |
Shep Sheppard | Breaking down the data sciencey barriers Shep Sheppard Breaking down the data sciencey barriers Menu Home About Me Comparison of Regression Models Published September 2, 2021 / by shep2010 So a copy of this will live on my github site as well, the blog post of the jupyter notebook is mostly to see if wordpress crashes ? Continue reading → Posted In Uncategorized Tagged regression Random Forest with the EPA Mpg dataset Published August 31, 2018 / by shep2010 This is a Random Forest Regression of the EPA Dataset i wrote on few posts back . This is more of a log drawn out doodle, but you can recreate it if you like, all of my data is available. Continue reading → Posted In Python | Random Forest Regression Tagged regression Logistic Regression 5, train, test, predict Published August 24, 2018 / by shep2010 The last in this series is splitting the the data into train and test then attempt a prediction with the test data set. It is possible to do this early in the |
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