際際滷shows by User: sampathweb / http://www.slideshare.net/images/logo.gif 際際滷shows by User: sampathweb / Sun, 06 Nov 2016 20:03:48 GMT 際際滷Share feed for 際際滷shows by User: sampathweb Feature engineering pipelines /slideshow/feature-engineering-pipelines/68267006 featureengineeringpipelines1-161106200348
Build Effective Feature Pipelines in Scikit-Learn and Pandas. Talk I presented at ODSC West 2016 in Santa Clara.]]>
Build Effective Feature Pipelines in Scikit-Learn and Pandas. Talk I presented at ODSC West 2016 in Santa Clara.]]> Sun, 06 Nov 2016 20:03:48 GMT /slideshow/feature-engineering-pipelines/68267006 sampathweb@slideshare.net(sampathweb) Feature engineering pipelines sampathweb Build Effective Feature Pipelines in Scikit-Learn and Pandas. Talk I presented at ODSC West 2016 in Santa Clara. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/featureengineeringpipelines1-161106200348-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Build Effective Feature Pipelines in Scikit-Learn and Pandas. Talk I presented at ODSC West 2016 in Santa Clara.
Feature engineering pipelines from Ramesh Sampath
]]> 3008 3 https://cdn.slidesharecdn.com/ss_thumbnails/featureengineeringpipelines1-161106200348-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-sampathweb-48x48.jpg?cb=1580937825 I am a full stack developer with deep interests in big data and machine learning. I look for ways in which machine learning and data science concepts can help understand the underlying behavior. I have participated in several Lean Startup Machine workshops and Startup Weekends. I enjoy working with Python data tools like Numpy / Pandas / Scikit-learn to making sense of data and Python / JS for my web development adventures. Recently, I have been working with Big data technologies like Hadoop and running building systems at scale using cloud computing. http://www.scurved.com