Daniel Nee Practical Data Science

Practical Data Science. Blog of Daniel Nee focusing on Machine Learning, Statistics and Programming. Theoretical and practical examples from a data scientist.

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This web page danielnee.com presently has a traffic ranking of zero (the lower the better). We have researched twenty pages inside the web page danielnee.com and found eleven websites referring to danielnee.com. We were able to acquire two contacts and addresses for danielnee.com to help you reach them. We were able to acquire one social web accounts acquired by danielnee.com. This web page danielnee.com has been online for six hundred and thirty weeks, twenty-nine days, twenty-one hours, and ten minutes.
Pages Analyzed
20
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11
Contacts
2
Locations
2
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1
Online Since
Jun 2012

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DANIELNEE.COM HISTORY

This web page danielnee.com was first filed on June 05, 2012. It was last updated on June 05, 2014. This web page will expire on June 04, 2015. As of today, it is six hundred and thirty weeks, twenty-nine days, twenty-one hours, and ten minutes young.
REGISTERED
June
2012
UPDATED
June
2014
EXPIRED
June
2015

BUSINESS LENGTH OF LIFE

12
YEARS
0
MONTHS
29
DAYS

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WHAT DOES DANIELNEE.COM LOOK LIKE?

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CONTACTS

Daniel Nee

69 Evershot Road

London, N4 3DG

GB

11 Internet Ltd.

Hostmaster ONEANDONE

10-14 Bath Road

Slough, BRK, SL1 3SA

GB

DANIELNEE.COM HOST

I caught that the main page on danielnee.com took eight hundred and thirty-two milliseconds to come up. I could not observe a SSL certificate, so therefore our crawlers consider this site not secure.
Load time
0.832 seconds
SSL
NOT SECURE
Internet Address
54.226.68.118

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ns67.1and1.co.uk
ns68.1and1.co.uk

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SERVER OPERATING SYSTEM AND ENCODING

I caught that this domain is weilding the Apache/2.4.18 (Ubuntu) server.

TITLE

Daniel Nee Practical Data Science

DESCRIPTION

Practical Data Science. Blog of Daniel Nee focusing on Machine Learning, Statistics and Programming. Theoretical and practical examples from a data scientist.

CONTENT

This web page states the following, "Setting up Jupyter for Deep Learning on EC2." Our analyzers viewed that the web page said " This post is a simple guide on setting up an EC2 server for deep learning as quickly as possible." The Website also said " In EC2, select Launch Instance. Select your AMI, choose Deep Learning AMI Ubuntu. You could use the Amazon Linux version, I just personally prefer Ubuntu. Move to Review and Launch. On the security groups you will need to open ports 22, 443 and 8888. Click Launch and select your key pair or create a new one. SSH into the server with."

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