Yannis Pappas
Fraud Detection Using Machine Learning. The scope of the project is the creation of an algorithm with the ability to identify employees who may have committed fraud. To achieve this goal, Exploratory Data Analysis and Machine Learning are deployed to clear the dataset from outliers, identify new parameters and classify the employees as potential Persons of Interest. Exploring Uber demand in NYC. Test a Perceptual Phenomenon.
OVERVIEW
This website yannispappas.com currently has a traffic ranking of zero (the lower the more traffic). We were able to acquire two contacts and addresses for yannispappas.com to help you reach them. We were able to acquire three social web platforms belong to yannispappas.com. This website yannispappas.com has been on the internet for seven hundred and seventy weeks, two days, eighteen hours, and fourteen minutes.
Contacts
2Locations
2Social Links
3Online Since
Jul 2010YANNISPAPPAS.COM RANKINGS
This website yannispappas.com has seen varying levels of traffic all over the year.
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YANNISPAPPAS.COM HISTORY
This website yannispappas.com was created on July 15, 2010. It was last updated on the date of October 10, 2013. This domain will go back on the market on the date of July 15, 2015. As of today, it is seven hundred and seventy weeks, two days, eighteen hours, and fourteen minutes old.
REGISTERED
July
2010
UPDATED
October
2013
EXPIRED
July
2015
COMPANY AGE
14
YEARS
9
MONTHS
2
DAYS
LINKS TO BUSINESS
WHAT DOES YANNISPAPPAS.COM LOOK LIKE?
CONTACTS
Yannis Pappas
Yannis Pappas
E. Antistaseos 67
Halandri, Halandri, 15231
GR
YANNISPAPPAS.COM HOST
I detected that the main page on yannispappas.com took three thousand and forty-seven milliseconds to come up. We could not observe a SSL certificate, so in conclusion our parsers consider this site not secure.
Load time
3.047 seconds
SSL
NOT SECURE
Internet Address
192.30.252.154
NAME SERVERS
dns1.papaki.gr
dns2.papaki.gr
SERVER OPERATING SYSTEM AND ENCODING
I diagnosed that this website is weilding the GitHub.com server.TITLE
Yannis PappasDESCRIPTION
Fraud Detection Using Machine Learning. The scope of the project is the creation of an algorithm with the ability to identify employees who may have committed fraud. To achieve this goal, Exploratory Data Analysis and Machine Learning are deployed to clear the dataset from outliers, identify new parameters and classify the employees as potential Persons of Interest. Exploring Uber demand in NYC. Test a Perceptual Phenomenon.CONTENT
This website yannispappas.com had the following on the web page, "The scope of the project is the creation of an algorithm with the ability to identify employees who may have committed fraud." Our analyzers viewed that the website said " To achieve this goal, Exploratory Data Analysis and Machine Learning are deployed to clear the dataset from outliers, identify new parameters and classify the employees as potential Persons of Interest." The Website also said " Exploring Uber demand in NYC."SUBSEQUENT WEBSITES
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