timmanns blogspot.com

Blog by Tim Manns data mining blog

Blog by Tim Manns data mining blog. Data Mining Blog, Data Mining, Analysing terabyte data warehouses, SPSS Clementine, SAS Enterprise Miner, Telecommunications. Sunday, September 8, 2013. Thoughts on retail analytics. Ive practically been blog-dead for a year, so Ill try to make this a good one. The reason for this post is Ive had a number of discussions about a retail analytics project I worked on earlier this year. One of the projects I worked on this year was for a major retail department store.

OVERVIEW

This web page timmanns.blogspot.com currently has a traffic ranking of zero (the lower the superior). We have explored twenty pages inside the domain timmanns.blogspot.com and found sixty-two websites referring to timmanns.blogspot.com. We were able to observe three social web platforms linked to this website.
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This web page timmanns.blogspot.com has seen a fluctuation levels of traffic within the past the year.
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LINKS TO WEB SITE

Data Mining and Predictive Analytics

Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Thursday, July 24, 2014. Similarities and Differences Between Predictive Analytics and Business Intelligence. I was interviewed by Victoria Garment. 3 Ways to Test the Accuracy of Your Predictive Models. Posted on their Plotting Success blog.

Life Analytics

Monday, February 23, 2015. Extracting Insights from Consumer Reviews. Here is one more example on how we can extract Insights from Consumer Reviews. This time we will use Reviews that were given for several Supplement Brands of Omega-3 Fish Oil. The tools used for this example are NLTK and Python. The code simply reads the reviews and associated text and creates a Matrix with the same representation as the file it read. Identify which words commonly occur in 5-star reviews.

Mixotricha About complexity and stuff

Who is to blame for the imminent collapse of Greece? The greeks, who failed during decades to put their economy on track? Europe, who says they gave them already way to much and refuses to throw more money in this sinkhole? The answer is, like always, neither black, nor white. And Europe knew Greece was cheating! .

didikeren Didik Emang Kreatif Religius Intelek

The 7 Deadly Sins of Data Mining and How To Avoid Them. Our M2010 Data Mining Conference keynote speaker, Dick De Veaux from Williams College just finished his entertaining and informative presentation. Are you guilty of any of these data mining sins? Seven Deadly Sins of Data Mining. 1 Not asking the right questions.

WHAT DOES TIMMANNS.BLOGSPOT.COM LOOK LIKE?

Desktop Screenshot of timmanns.blogspot.com Mobile Screenshot of timmanns.blogspot.com Tablet Screenshot of timmanns.blogspot.com

TIMMANNS.BLOGSPOT.COM HOST

Our parsers identified that a lone page on timmanns.blogspot.com took one hundred and fifty-six milliseconds to come up. We could not find a SSL certificate, so our crawlers consider timmanns.blogspot.com not secure.
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0.156 secs
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NOT SECURE
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216.58.216.225

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SERVER OS AND ENCODING

I found that this domain is operating the GSE server.

PAGE TITLE

Blog by Tim Manns data mining blog

DESCRIPTION

Blog by Tim Manns data mining blog. Data Mining Blog, Data Mining, Analysing terabyte data warehouses, SPSS Clementine, SAS Enterprise Miner, Telecommunications. Sunday, September 8, 2013. Thoughts on retail analytics. Ive practically been blog-dead for a year, so Ill try to make this a good one. The reason for this post is Ive had a number of discussions about a retail analytics project I worked on earlier this year. One of the projects I worked on this year was for a major retail department store.

CONTENT

This web page timmanns.blogspot.com states the following, "Blog by Tim Manns data mining blog." We saw that the webpage said " Data Mining Blog, Data Mining, Analysing terabyte data warehouses, SPSS Clementine, SAS Enterprise Miner, Telecommunications." It also said " Sunday, September 8, 2013. Ive practically been blog-dead for a year, so Ill try to make this a good one. The reason for this post is Ive had a number of discussions about a retail analytics project I worked on earlier this year. One of the projects I worked on this year was for a major retail department store."

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Better to have Blogged Then never to have Blogged at all.

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