Service
Predictive Modelling
Data Sciece
Predictive Modeling Techniques
- Regression Analysis
- Classification Analysis
- Clustering Analysis
- Deep Learning
- Time Forecasting
Requirement gathering & business understanding
It is an initial process and even we can say that one of the most important, Firstly we understand your needs and figure out the technology and services you need to get your work done in this process we will run continuous sessions of questionnaire which consists of all types of questions that are all needed to understand your work.
Model Development
It is the main process as it consists of the development of a model that suits your business needs and that will give you output as per your demands.
Tuning of model
our testing team is always ready to find out flaws in the work done by our technical department and in any case they figure out any, then we will render it and make the model 100% bug free and deployable.
Deployment
It is considered as the final process of providing the service and train make your employees by providing them technical sessions and after the deployment, you can use predictive model results into everyday decision making process to get results, reports, and output by automating decisions based on the modeling.
Model monitoring
As it not even considered as a valid step it is very important as we deploy model in real world we have to find out is the model is working as per our expectations that’s why we monitor to review the model performance to ensure that it is providing the results as expected.
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