ºÝºÝߣshows by User: sercantahaahi / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: sercantahaahi / Fri, 28 Mar 2014 21:30:46 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: sercantahaahi Feature Selection with R / in JP /slideshow/feature-selection-with-r-in-jp/32874453 taha20140329featureselection-140328213046-phpapp01
7 R packages that might be helpful in selecting important features. ºÝºÝߣs are in Japanese.]]>

7 R packages that might be helpful in selecting important features. ºÝºÝߣs are in Japanese.]]>
Fri, 28 Mar 2014 21:30:46 GMT /slideshow/feature-selection-with-r-in-jp/32874453 sercantahaahi@slideshare.net(sercantahaahi) Feature Selection with R / in JP sercantahaahi 7 R packages that might be helpful in selecting important features. ºÝºÝߣs are in Japanese. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/taha20140329featureselection-140328213046-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 7 R packages that might be helpful in selecting important features. ºÝºÝߣs are in Japanese.
Feature Selection with R / in JP from Sercan Ahi
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10 Tips for Better Visualization of Scientific Data /sercantahaahi/10-tips-for-better-visualization-of-scientific-data-13797639 ahi-pre-120726datavisualization-120730003523-phpapp01
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Mon, 30 Jul 2012 00:35:21 GMT /sercantahaahi/10-tips-for-better-visualization-of-scientific-data-13797639 sercantahaahi@slideshare.net(sercantahaahi) 10 Tips for Better Visualization of Scientific Data sercantahaahi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ahi-pre-120726datavisualization-120730003523-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
10 Tips for Better Visualization of Scientific Data from Sercan Ahi
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https://cdn.slidesharecdn.com/profile-photo-sercantahaahi-48x48.jpg?cb=1675995630 1. What do you do now? Increasing the efficiency of sales personnel by using web tech, machine learning and open source software. 2. What is your skillset? → Data analysis: {Customer purchase and churn modeling with R} → Machine learning: {Python, Spark} → Data engineering: {Bash, SQL, Hive, Presto} → Dashboard development: {Javascript, Flask} 3. Sounds like jack of all trades and master of none. Trying not to be one. https://cdn.slidesharecdn.com/ss_thumbnails/taha20140329featureselection-140328213046-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/feature-selection-with-r-in-jp/32874453 Feature Selection with... https://cdn.slidesharecdn.com/ss_thumbnails/ahi-pre-120726datavisualization-120730003523-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds sercantahaahi/10-tips-for-better-visualization-of-scientific-data-13797639 10 Tips for Better Vis...