Mu Sigma Business Solutions Pvt. Ltd.
- 4 followers
- Bangalore, India
- http://www.mu-sigma.com/
- ird.experiencelab@mu-sigma.com
Popular repositories Loading
-
analysis-pipelines
analysis-pipelines PublicEnables data scientists to compose pipelines of analysis which consist of data manipulation, exploratory analysis & reporting, as well as modeling steps. Data scientists can use tools of their choi…
-
HVT
HVT PublicForked from Mu-Sigma/muHVT
Constructing hierarchical Voronoi tessellations for a given data set and overlay heatmaps for variables at various levels of the tessellations for in-depth data analysis. Credits to Mu Sigma for th…
R 3
-
Repositories
- HVT Public Forked from Mu-Sigma/muHVT
Constructing hierarchical Voronoi tessellations for a given data set and overlay heatmaps for variables at various levels of the tessellations for in-depth data analysis. Credits to Mu Sigma for their continuous support throughout the development of the package.
Mu-Sigma/HVT’s past year of commit activity - muHVT Public archive
Constructing hierarchical Voronoi tessellations for a given data set and overlay heatmaps for variables at various levels of the tessellations for in-depth data analysis. Credits to Mu Sigma for their continuous support throughout the development of the package.
Mu-Sigma/muHVT’s past year of commit activity - netlogo-kafka-extension Public
Mu-Sigma/netlogo-kafka-extension’s past year of commit activity - Rdrools Public
An interface for using the popular Java based Drools, which is a Business Rule Management System (See <https://www.drools.org> for more information). This package provides data scientists an intuitive interface to execute business rules on datasets for the purpose of analysis or designing intelligent systems, while leveraging the Drools rule eng…
Mu-Sigma/Rdrools’s past year of commit activity - analysis-pipelines Public
Enables data scientists to compose pipelines of analysis which consist of data manipulation, exploratory analysis & reporting, as well as modeling steps. Data scientists can use tools of their choice through an R interface, and compose interoperable pipelines between R, Spark, and Python.
Mu-Sigma/analysis-pipelines’s past year of commit activity
