Website stats for Dataaspirant - dataaspirant.com
dataaspirant.com was registered 9 years 9 months ago. It has a alexa rank of #850,697 in the world. It is a domain having .com extension. It is estimated worth of $ 1,440.00 and have a daily income of around $ 6.00. As no active threats were reported recently, dataaspirant.com is SAFE to browse.
Traffic Report
| Daily Unique Visitors: | 1,031 |
| Daily Pageviews: | 2,062 |
Estimated Valuation
| Income Per Day: | $ 6.00 |
| Estimated Worth: | $ 1,440.00 |
Search Engine Indexes
| Google Indexed Pages: | Not Applicable |
| Yahoo Indexed Pages: | Not Applicable |
| Bing Indexed Pages: | Not Applicable |
Search Engine Backlinks
| Google Backlinks: | Not Applicable |
| Bing Backlinks: | Not Applicable |
| Alexa BackLinks: | Not Applicable |
Safety Information
| Google Safe Browsing: | No Risk Issues |
| Siteadvisor Rating: | Not Applicable |
| WOT Trustworthiness: |
 Very Poor
|
| WOT Privacy: |
Very Poor
|
| WOT Child Safety: |
Very Poor
|
Website Ranks & Scores
| Alexa Rank: | 850,697 |
| PageSpeed Score: | 89 ON 100 |
| Domain Authority: |
49 ON 100 
|
| Bounce Rate: | Not Applicable |
| Time On Site: | Not Applicable |
Web Server Information
Hosted IP Address:
138.197.29.69
Hosted Country:
US
Location Latitude:
40.8584Location Longitude:
-74.1638Search Engine Results For dataaspirant.com
Popular Feature Selection Methods in Machine Learning
Dec 28, 2020 ... “The method of reducing the number of input variables during the development of a predictive model.” OR. “Feature selection is a process of ...
How Lasso Regression Works in Machine Learning - Dataaspirant
Nov 26, 2020 ... Learn how the Lasso Regression algorithm works in machine learning, along with the implementation in python with sklearn.
Five Key Assumptions of Linear Regression Algorithm - Dataaspirant
Dec 31, 2020 ... Learn the 5 key linear regression assumptions, we need to consider before building the regression model.
How CatBoost Algorithm Works In Machine Learning - Dataaspirant
Jan 4, 2021 ... Learn the most popular catboost algorithm in machine learning, along with the various applications and implementation in python.
oversampling - Dataaspirant
Aug 9, 2020 ... Save my name, email, and website in this browser for the next time I comment. Notify me of new posts by email.
Seven Most Popular SVM Kernels - Dataaspirant
Dec 17, 2020 ... Learn how the svm kernel functions help support vector machine algorithm in dealing with the high dimensional data along with the ...
Linear Regression Archives - Dataaspirant
Introduction to Linear Regression Analysis Linear regression is a widely used supervised learning algorithm for various applications. The advantage of using ...
DataAspirant - Home | Facebook
DataAspirant. 3468 likes · 1 talking about this. we are passionate about data science and teaching data science to others. Our core aim is to bring data...
Conceptual Understanding of Logistic Regression for Data Science ...
Aug 3, 2021 ... This article was published as a part of the Data Science Blogathon. Logistic Regression Image Source: dataaspirant.com ...
Landslide Area Prediction Using Machine Learning - ArcGIS ...
Jun 12, 2021 ... How Random Forest Algorithm Works in Machine Learning (Online). https://dataaspirant.com/random-forest-algorithm-machine-learing/. Yanuar.
Dataaspirant - Data Science Portal for beginners.
Jan 18, 2021 ... How the Hierarchical Clustering Algorithm Works Hierarchical Clustering is an unsupervised Learning Algorithm, and this is one of the most... + ...
An Introduction To Neural Networks Hmola
6 days ago ... Dataaspira…https://dataaspirant.com/neural- network-basics. Sep 17, 2020 · Introduction to Neural Network. Basics.
SVM implementation Issue - General - RStudio Community
Jul 23, 2020 ... ... heart_dataframe<-read.csv(url("https://dataaspirant.com/wp-content/uploads/2017/01/heart_tidy.csv")) After which we have task - Capture ...
Supervised and Unsupervised learning
- https://www.cusb.ac.in/images/cusb-files/2020/el/bis/Algorithms_in_Bioinformatics_semesterII_clustering.pdf
Supervised and Unsupervised learning http://dataaspirant.com/2014/09/19/supervised-and-unsupervised- learning/. Page 2. Supervised learning is a data mining ...
Best Machine Learning Classification Algorithms You Must Know
Dataaspirant.com has an easy to read and understand article explaining how decision tree algorithm works. And if you have advanced skills, there is a great ...
Anyone knows how to measure/compare feature vectors of different ...
https://dataaspirant.com/2015/04/11/five-most-popular-similarity-measures-implementation-in-python/. Best. Cite. 1 Recommendation. 22nd May, 2016.
Machine learning and what UX designers need to know! - Bentley ...
Feb 17, 2017 ... (Read here for the full article: http://dataaspirant.com/2014/09/19/supervised-and-unsupervised-learning/.
Phishing Website Detection using Machine Learning Algorithms
... http://dataaspirant.com/2017/01/30/how-decision-tree-algorithm-works/; http://dataaspirant.com/2017/05/22/random-forest-algorithm-machine-learing/ ...
The Softmax Function, Simplified - Towards Data Science
dataaspirant.com · https://sebastianraschka.com/faq/docs/softmax_regression.html. Spread and share knowledge. This post is the first among many in this ...
An experimental study for breast cancer prediction algorithms
Dec 2, 2019 ... ... forest algorithm works in machine learning', dataaspirant, 2017. [Online]. Available: http://dataaspirant.com/2017/05/22/random-forest- ...
2 - stormcontrol
dataaspirant.com. If (like me) you're just getting started with Machine Learning and Artificial Neural Networks you're probably wondering when to use ...
dataaspirant – Medium
Read writing from dataaspirant on Medium. Data Science Blog. Every day, dataaspirant and thousands of other voices read, write, and share important stories ...
Page Resources Breakdown
Homepage Links Analysis
Website Inpage Analysis
| H1 Headings: | 1 | H2 Headings: | 16 |
| H3 Headings: | 10 | H4 Headings: | Not Applicable |
| H5 Headings: | Not Applicable | H6 Headings: | Not Applicable |
| Total IFRAMEs: | Not Applicable | Total Images: | 44 |
| Google Adsense: | Not Applicable | Google Analytics: | UA-90323584-1 |
Two Phrase Analysis
| Words | Occurrences | Density | Possible Spam |
|---|---|---|---|
| Machine Learning | 27 | 3.027 % | No |
| Data Science | 22 | 2.466 % | No |
| Read More | 15 | 1.682 % | No |
| Algorithm Works | 12 | 1.345 % | No |
| Science Machine | 12 | 1.345 % | No |
| Comment Data | 11 | 1.233 % | No |
| Most Popular | 10 | 1.121 % | No |
| in Machine | 9 | 1.009 % | No |
| Learning How | 8 | 0.897 % | No |
| More How | 8 | 0.897 % | No |
| Works in | 7 | 0.785 % | No |
| Clustering Algorithm | 6 | 0.673 % | No |
| machine learning | 5 | 0.561 % | No |
| In Machine | 5 | 0.561 % | No |
| Five Most | 4 | 0.448 % | No |
| With Regularization | 4 | 0.448 % | No |
| to Handle | 4 | 0.448 % | No |
| Comments Data | 4 | 0.448 % | No |
| BOW Works | 4 | 0.448 % | No |
| Words BOW | 4 | 0.448 % | No |
Four Phrase Analysis
| Words | Occurrences | Density | Possible Spam |
|---|---|---|---|
| Data Science Machine Learning | 12 | 1.345 % | No |
| Comment Data Science Machine | 10 | 1.121 % | No |
| Science Machine Learning How | 7 | 0.785 % | No |
| How Principal Component Analysis | 4 | 0.448 % | No |
| How Bag of Words | 4 | 0.448 % | No |
| Bag of Words BOW | 4 | 0.448 % | No |
| Principal Component Analysis PCA | 4 | 0.448 % | No |
| of Words BOW Works | 4 | 0.448 % | No |
| Seven Most Popular SVM | 4 | 0.448 % | No |
| Most Popular SVM Kernels | 4 | 0.448 % | No |
| How CatBoost Algorithm Works | 4 | 0.448 % | No |
| Words BOW Works in | 4 | 0.448 % | No |
| Most Popular Unsupervised Learning | 4 | 0.448 % | No |
| Handle Overfitting With Regularization | 4 | 0.448 % | No |
| Five Most Popular Unsupervised | 4 | 0.448 % | No |
| Selection Methods in Machine | 4 | 0.448 % | No |
| Popular Feature Selection Methods | 4 | 0.448 % | No |
| Feature Selection Methods in | 4 | 0.448 % | No |
| How to Handle Overfitting | 4 | 0.448 % | No |
| to Handle Overfitting With | 4 | 0.448 % | No |
HTTP Header Analysis
Status-Code: 200
Status: 200 OK
Server: nginx
Date: Tue, 28 Sep 2021 01:39:35 GMT
Content-Type: text/html; charset=UTF-8
Content-Length: 53661
Connection: keep-alive
Link:
Vary: Accept-Encoding
Content-Encoding: gzip
Cache-Control: max-age=0
Expires: Tue, 28 Sep 2021 01:15:49 GMT
Age: 1423
X-Cache: HIT
Accept-Ranges: bytes
Domain Information
| Domain Registrar: |
GoDaddy.com, LLC
|
|---|---|
| Registration Date: | 2015-02-05 9 years 9 months 2 weeks ago |
| Last Modified: | 2020-02-16 4 years 9 months 1 week ago |
Domain Nameserver Information
| Host | IP Address | Country | |
|---|---|---|---|
| ns69.domaincontrol.com | |
97.74.104.45 | United States |
| ns70.domaincontrol.com | |
173.201.72.45 | United States |
DNS Record Analysis
| Host | Type | TTL | Extra |
|---|---|---|---|
| dataaspirant.com | A | 1795 |
IP: 138.197.29.69 |
| dataaspirant.com | NS | 3600 |
Target: ns69.domaincontrol.com |
| dataaspirant.com | NS | 3600 |
Target: ns70.domaincontrol.com |
| dataaspirant.com | SOA | 600 |
MNAME: ns69.domaincontrol.com RNAME: dns.jomax.net Serial: 2020072106 Refresh: 28800 Retry: 7200 Expire: 604800 |
| dataaspirant.com | MX | 3600 |
Priority: 20 Target: mx2.zoho.com |
| dataaspirant.com | MX | 3600 |
Priority: 10 Target: mx.zoho.com |
| dataaspirant.com | TXT | 3600 |
TXT: v=spf1 a mx include:_spf.elasticemail.com ~all |
Full WHOIS Lookup
Registry Domain ID:
1900916779_DOMAIN_COM-VRSN
Registrar WHOIS Server:
whois.godaddy.com
Registrar URL:
http://www.godaddy.com
Updated Date:
2020-02-16T06:44:17Z
Creation Date:
2015-02-05T14:08:57Z
Registry Expiry Date:
2029-02-05T14:08:57Z
Registrar: GoDaddy.com, LLC
Registrar
IANA ID: 146
Registrar Abuse Contact Email:
[email protected]
Registrar Abuse Contact Phone:
480-624-2505
Domain Status: clientDeleteProhibited
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Domain Status:
clientRenewProhibited
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clientTransferProhibited
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Domain Status:
clientUpdateProhibited
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Name Server:
NS69.DOMAINCONTROL.COM
Name Server:
NS70.DOMAINCONTROL.COM
DNSSEC: unsigned
URL of the ICANN Whois
Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>> Last
update of whois database: 2021-09-28T01:39:20Z
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