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Handling Rare Events and Class Imbalance in Predictive Modeling for Machine Failure

By | 2019-03-12T11:17:25+00:00 September 21st, 2017|Analytics, Big Data, Churn, Data Sciences, Hadoop, MapReduce, Marketing Analytics, Pranab Ghosh, Predictive Analytics, Predictive Modeling|

Handling Rare Events and Class Imbalance in Predictive Modeling for Machine Failure Most supervised Machine Learning algorithms face difficulty when there is class imbalance in the training data i.e., amount of data belonging one class [...]

Leveraging predictive Analytics in the AWS Marketplace…

By | 2019-06-21T13:10:06+00:00 May 23rd, 2017|Amazon, Amazon AWS Marketplace, Amazon Ec2, Amazon Redshift, AWS Cloud, AWS Marketplace, Big Data, Data Cloud, Data Sciences, Intelligent Analytical System, Original Content, Predictive Analytics|

Your organization depends on ready access to its information resources. That’s probably part of the reason you decided to adopt cloud solutions, such as Amazon Web Services: Not only are [...]

Customer Churn Prediction with SVM using Scikit-Learn

By | 2019-03-12T11:48:24+00:00 April 24th, 2016|Analytics, Big Data, Churn, Data Sciences, Hadoop, MapReduce, Marketing Analytics, Pranab Ghosh, Predictive Analytics, Predictive Modeling|

Customer Churn Prediction with SVM using Scikit-Learn Support Vector Machine (SVM) is unique among the supervised machine learning algorithms in the sense that it focuses on training data points along the separating hyper planes. In [...]

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