際際滷shows by User: SridharNomula1 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: SridharNomula1 / Fri, 03 Feb 2023 11:55:22 GMT 際際滷Share feed for 際際滷shows by User: SridharNomula1 KG_based pharma marketing.pptx /slideshow/kgbased-pharma-marketingpptx/255681362 videopresentationraw-230203115522-9753474a
Graph based approach for commercial success.]]>

Graph based approach for commercial success.]]>
Fri, 03 Feb 2023 11:55:22 GMT /slideshow/kgbased-pharma-marketingpptx/255681362 SridharNomula1@slideshare.net(SridharNomula1) KG_based pharma marketing.pptx SridharNomula1 Graph based approach for commercial success. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/videopresentationraw-230203115522-9753474a-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Graph based approach for commercial success.
KG_based pharma marketing.pptx from Sridhar Nomula
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Evaluation of multilabel multi class classification /slideshow/evaluation-of-multilabel-multi-class-classification-147091418/147091418 evaluationofmultilabelmulticlassclassification-190522132212
Explains evaluation metrics for Multi-label & Multi-Class classification task in machine learning.]]>

Explains evaluation metrics for Multi-label & Multi-Class classification task in machine learning.]]>
Wed, 22 May 2019 13:22:11 GMT /slideshow/evaluation-of-multilabel-multi-class-classification-147091418/147091418 SridharNomula1@slideshare.net(SridharNomula1) Evaluation of multilabel multi class classification SridharNomula1 Explains evaluation metrics for Multi-label & Multi-Class classification task in machine learning. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/evaluationofmultilabelmulticlassclassification-190522132212-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Explains evaluation metrics for Multi-label &amp; Multi-Class classification task in machine learning.
Evaluation of multilabel multi class classification from Sridhar Nomula
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https://cdn.slidesharecdn.com/profile-photo-SridharNomula1-48x48.jpg?cb=1702610485 Overall 8 years of experience in statistical, data mining and machine learning techniques to solve business problems. Proficient in building prediction models using various machine learning algorithms such as multivariate regression, logistic regression, Random forest, Apriori, linear (LPP) programming, Decision trees, Principle component analysis and forecasting models. Exposure to statistical tools such as R Studio, Python and other tools such as Tableau, MySQL, MS Excel and Alteryx. Fair understanding on the big data system architecture and tools such as Hadoop. https://cdn.slidesharecdn.com/ss_thumbnails/videopresentationraw-230203115522-9753474a-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/kgbased-pharma-marketingpptx/255681362 KG_based pharma market... https://cdn.slidesharecdn.com/ss_thumbnails/evaluationofmultilabelmulticlassclassification-190522132212-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/evaluation-of-multilabel-multi-class-classification-147091418/147091418 Evaluation of multilab...