tag:blogger.com,1999:blog-7994087232040033267.post3830997390232928330..comments2024-03-03T00:23:26.457-08:00Comments on Pragmatic Programming Techniques: Predictive Analytics: Overview and Data visualizationRicky Hohttp://www.blogger.com/profile/03793674536997651667noreply@blogger.comBlogger6125tag:blogger.com,1999:blog-7994087232040033267.post-3728164572852888822013-12-04T23:54:57.293-08:002013-12-04T23:54:57.293-08:00That's so precise and brilliant. Thanks for th...That's so precise and brilliant. Thanks for the share :DAnonymoushttps://www.blogger.com/profile/05899651761289667444noreply@blogger.comtag:blogger.com,1999:blog-7994087232040033267.post-59097025515059136762013-08-27T04:45:38.229-07:002013-08-27T04:45:38.229-07:00Excellent article, very useful.Excellent article, very useful.Anonymoushttps://www.blogger.com/profile/04875180686380987063noreply@blogger.comtag:blogger.com,1999:blog-7994087232040033267.post-35686513025630233782012-06-15T17:43:51.595-07:002012-06-15T17:43:51.595-07:00Thanks Ricky, you've put together a great seri...Thanks Ricky, you've put together a great series of posts here. Nice to see attention to data preparation/feature engineering and also evaluation after the model has been trained.<br /><br />A terrific resource particularly for people getting started with Kaggle competitions!Anonymoushttps://www.blogger.com/profile/09130845240581222193noreply@blogger.comtag:blogger.com,1999:blog-7994087232040033267.post-28853124799454418772012-05-16T12:48:16.405-07:002012-05-16T12:48:16.405-07:00clear and nice article with code examples.clear and nice article with code examples.CHIThttps://www.blogger.com/profile/05765535149365814192noreply@blogger.comtag:blogger.com,1999:blog-7994087232040033267.post-51232656947727010502012-05-15T05:37:08.016-07:002012-05-15T05:37:08.016-07:00This is a very good introduction into exploratory ...This is a very good introduction into exploratory techniques. I'm looking forward to your post about the data preparation. While many people talk about the machine learning aspects (different algorithms, etc.), like you say a lot of work goes into cleaning and preparing the data. <br /><br />In terms of exploratory techniques I would also stress out the importance of finding outliers using maybe QQ plots or other techniques and using different summarizing measures (looking at medians and MADM, not just averages and standard deviation).Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-7994087232040033267.post-49984227636004592522012-05-15T00:19:22.676-07:002012-05-15T00:19:22.676-07:00Hi Ricky, thanks for this post. It's a great i...Hi Ricky, thanks for this post. It's a great idea to start a series on predictive analytics. At BigML's we fully recognize the increasing demand for machine learning technology to analyze large dta. Recently we launched our machine learning as a service. It'll enable the user to simply do most of the tasks you've described here by a simple mouse click or API call. It is great that through posts like yours and services like BigMLs many businesses are able to benefit from predictive analytics.Anonymousnoreply@blogger.com