Data Modeling

Data Modelling.

Our work on data modelling target the best tools and methods usable for your need.

Different models are used. We use multiple and complex regression for your data. It includes Ridge, Lasso or PLS models.

We can make complex Statistical model applicable to your data.

We model Timerseries to make prediction using different method as Exponential lissage or ARIMA model.

We take into the saisonality of your timeseries durint the modelisation process.

The spatial regression model is used to resolve geolocalized data. This kind of model is applicable to different geographical application as health or marketing.

We manage your longitudinales data in following and modelling cohorts and panels.

We model complex data structure with indirect or latent variables.

We make complex model to classify your data including Logistic Regression and Discriminant Analisys.

For complex modelling we use the Support Vector Machine.

We support unsupervised methods as Kononen Map or associations rules.

We support supervised methods as Regression Tree and Random Forest, Neural Network and Deep Learning, Boosting and Bagging.

We work on Text Mining, Streaming , Graph and Social Networks.

We make complex visualization systems including complex interactions.

We support Survival and Risk Models as Cox Models We support Multi state And Concurent Risk Models.

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