Clintonboys.com receives about 350 visitors in one month. That could possibly earn $1.75 each month or $0.06 each day. Server of the website is located in the United States. Clintonboys.com main page was reached and loaded in 0.31 seconds. This is a good result. Try the services listed at the bottom of the page to search for available improvements.
Traffic and Value
| Is clintonboys.com legit? | |
| Website Value | $32 |
| Alexa Rank | 10300417 |
| Monthly Visits | 350 |
| Daily Visits | 12 |
| Monthly Earnings | $1.75 |
| Daily Earnings | $0.06 |
Clintonboys.com Server Location
Country: United States
Metropolitan Area: Not defined
Postal Reference Code: Not defined
Latitude: 37.751
Longitude: -97.822
Summarized Content
Clintonboys Main Page Content
| HTML Tag | Content | Informative? |
|---|---|---|
| Title: | Clinton | Could be improved |
| Description: | The personal website of Clinton | Could be improved |
| H1: | Is it informative enough? | |
| H2: | and the universal approximation theorem | Is it informative enough? |
| H3: | Clinton Boys | Is it informative enough? |
We've noticed that you have issues with some content elements on the main page:
• Title contains 12 characters. We think that you could improve this tag by adding more relevant information or keywords.
• Description tag could contain more content. We detected that this tag contains 37 characters and this is a small volume for a description.
• Take a look at the headings; there might be too little information. Headings are important for usability and search engine optimization.
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Internal Pages
| / [censorship] -learning/: | |
|---|---|
| Title |
learning and the universal approximation theorem – Clinton Boys [censored]
|
| Description |
learning, and in particular neural networks, is one of the most popular and powerful tools of modern data science. Using ogies from neuroscience, neural networksprovide a framework for building predictive models whose predictive power is seemingly limitless. They are at the heart of modern “artificial intelligence” wonders like smart istants (Siri, Cortana, Google istant), smart speakers, self-driving cars and most modern image detection algorithms (Google image search, IBM Watson). [censored]
|
| H1 |
learning and the universal approximation theorem [censored]
|
| H2 |
The mathematics of neural networks |
| H3 |
Clinton Boys |
| /australia-under-nz-rules/: | |
|---|---|
| Title |
The 2016 Australian election - New Zealand rules – Clinton Boys |
| Description |
New Zealand has a significantly different electoral system to Australia, and just had an interesting election with a fairly unexpected result. I thought it might be interesting to see how the most recent Australian election might have played out if it had taken place under “New Zealand rules”. |
| H1 |
The 2016 Australian election - New Zealand rules |
| H2 |
The New Zealand electoral system |
| H3 |
Clinton Boys |
| /kaggle-cc-fraud/: | |
|---|---|
| Title |
Detecting credit card fraud in Python – Clinton Boys |
| Description |
I have been trying recently to find an example dataset which takes me out of my comfort zone for cl ification problems a little bit by having a large imbalance in the sizes of the target groups. The cl ic example of this is credit card fraud: if you have thousands of credit card transactions, probably a very small percentage (say 1%) are fraudulent, so the stupidest model possible (saying no transactions are fraudulent) will result in 99% accuracy! [censored]
|
| H1 |
Detecting credit card fraud in Python |
| H2 |
Dataset |
| H3 |
Clinton Boys |
| /google-trends-sc [censorship] r-2/: | |
|---|---|
| Title |
Fixing the Trendy sc r – Clinton Boys [censored]
|
| Description |
My Google trends sc r is the most popular post on this site, and I’ve been getting questions about it for the last year or so, ever since Google changed the way the data is pulled and displayed on the trends site. [censored]
|
| H1 |
Fixing the Trendy sc r [censored]
|
| H3 |
Clinton Boys |
| /bias-variance-tradeoff/: | |
|---|---|
| Title |
The Bias-Variance tradeoff – Clinton Boys |
| Description |
The Bias-Variance tradeoff is an extremely important concept in statistical modelling which is often misinterpreted or poorly understood. In this post I’ll give a gentle introduction to the idea, followed by a er and more general discussion from a mathematical perspective. [censored]
|
| H1 |
The Bias-Variance tradeoff |
| H3 |
Clinton Boys |
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