Hi,
Please find below my short experience summary.
* Several years experience developing Statistical Data Analytics, Data Mining, Text Mining, Machine Learning, Knowledge Discovery using Weka and R for building classification and predictive models on Big Data developing Bayesian classifier and predictive models using SVM, Decision trees and Neural Networks for IMDB movie database, product classification, clustering algorithms(K-means, SVD) for categorization and segmentation and citation analysis ( HMM / markov-model )
* Have independently completed the projects undertaken before in developing Machine Learning, Data Mining, Analytics, Trend Analysis, Reporting, Dashboard and Statistical Tools and Software.
* Extensive experience using Perl, PHP, C, Java, .NET with MySql, Oracle, MS-SQL Server
* Data Mining Machine Learning Tools : Weka, R, Yale, RapiMiner, Excel, SVM-light.
Estimated Budget : ~ 450 GBP ( Timeline : 10-12 days )
Price,milestones and timelines flexible and negotiable based on exact project specifications and details or for any additional
project work.
For a supervised learning, is there enough good training data upon which a bayesian model can be built ?
[ For an unsupervised learning which probably will be the case incase of no training data may have to use some kind of clustering before a bayesian model can be built for generating the game-rules ]