Robot | Path | Permission |
GoogleBot | / | ✔ |
BingBot | / | ✔ |
BaiduSpider | / | ✔ |
YandexBot | / | ✔ |
Sitemap: |
Title | Data |
Description | Welcome to my homepage and personal |
Keywords | N/A |
WebSite | ethanwicker.com |
Host IP | 185.199.108.153 |
Location | - |
Site | Rank |
US$1,411,706
Last updated: 2023-05-16 23:21:31
ethanwicker.com has Semrush global rank of 7,497,531. ethanwicker.com has an estimated worth of US$ 1,411,706, based on its estimated Ads revenue. ethanwicker.com receives approximately 162,890 unique visitors each day. Its web server is located in -, with IP address 185.199.108.153. According to SiteAdvisor, ethanwicker.com is safe to visit. |
Purchase/Sale Value | US$1,411,706 |
Daily Ads Revenue | US$1,304 |
Monthly Ads Revenue | US$39,094 |
Yearly Ads Revenue | US$469,121 |
Daily Unique Visitors | 10,860 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
ethanwicker.com. | A | 1799 | IP: 185.199.108.153 |
ethanwicker.com. | A | 1799 | IP: 185.199.110.153 |
ethanwicker.com. | A | 1799 | IP: 185.199.111.153 |
ethanwicker.com. | A | 1799 | IP: 185.199.109.153 |
ethanwicker.com. | NS | 1800 | NS Record: dns2.registrar-servers.com. |
ethanwicker.com. | NS | 1800 | NS Record: dns1.registrar-servers.com. |
ethanwicker.com. | MX | 1800 | MX Record: 10 eforward1.registrar-servers.com. |
ethanwicker.com. | MX | 1800 | MX Record: 10 eforward2.registrar-servers.com. |
ethanwicker.com. | MX | 1800 | MX Record: 10 eforward3.registrar-servers.com. |
ethanwicker.com. | MX | 1800 | MX Record: 20 eforward5.registrar-servers.com. |
ethanwicker.com. | MX | 1800 | MX Record: 15 eforward4.registrar-servers.com. |
ethanwicker.com. | TXT | 1800 | TXT Record: v=spf1 include:spf.efwd.registrar-servers.com ~all |
Ethan Wicker About Me Data Scientist Welcome to my homepage and personal blog! Principal Components Regression An Overview and scikit-learn Example Posted on March 14, 2021 Principal components analysis (PCA) is a common and popular technique for deriving a low-dimensional set of features from a large set of variables. For more information on PCA, please refer to my earlier post on the technique. In this post, I’ll explore using PCA as a dimension reduction technique for... [Read More] Principal Components Analysis An Overview with scikit-learn and statsmodels Examples Posted on March 11, 2021 Principal components analysis (PCA) is a technique that computes the principal components of a dataset and then subsequently uses these components in understanding the data. PCA is an unsupervised approach. In a future post, I’ll explore principal components regression, a related supervised technique that makes uses of the principal components... [Read More] Regularization via Ridge Regression |
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