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

By |2019-03-12T11:17:25+00:00September 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+00:00May 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 |2023-06-19T11:15:28+00:00April 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 [...]

FREE WEBINAR – Comparative Analysis of Cloud based Machine Learning Platforms Your Blog Post Title Here…

By |2019-08-22T11:43:08+00:00February 27th, 2016|Artificial Intelligence, Data Sciences, Machine Learning, Original Content|

Machine Learning is seeing its day – every business in every domain is coming up with ways and means of incorporating Data Sciences for delivering business results. Answering the demands of [...]

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