A+ EuroTEC

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Data science development

We support you in the development of models to improve your products, processes and services.

We develop the necessary models from statistics and machine learning to solve your data science questions in R, Python or other tools, evaluate their predictive quality and convert them into a form that can be used by the end user. 

Thanks to our proven methods and experience, you can reduce development time and benefit more quickly from the results of your models. 

We will set up statistics collection for analysis from your customers and optimize the UX design of your applications.

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Machine learning

Conception, development, and evaluation of models in the area of ​​machine learning and AI.

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Statistics

Statistical evaluations and development of models for testing hypotheses and questions.

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Benchmarking

We benchmark existing models and evaluate their quality compared to other models.

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Predictive analytics

We develop predictive models for forecasting KPIs, customer behavior and other questions.

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Python coding

We develop and implement machine learning and AI models for you in Python and other tools.

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UX Design

We will set up statistics collection for analysis from your customers and optimize the UX design of your applications.

WHY A+ EuroTEC?

Data Science Development
for companies.

We develop models from statistics, machine learning and AI for our customers to improve products, services and processes. On the basis of open source tools such as Python, TensorFlow or Hadoop, Spark/Hive and other we develop and test machine learning and AI models together with you for the data-driven solution of your challenges. We will set up statistics collection for analysis from your customers and optimize the UX design of your applications. This allows you to increase the effectiveness of Marketing and to optimize the cost of advertising.
  • Best practices

We have ready data science method and tool know-how that we use profitably for you.

  • Data science experience

We have been developing machine learning and AI algorithms for our customers in E-Commerce.

  • Open source tools

We use suitable open source tools like Python for our models and no expensive software monoliths.

  • Agile teamwork

Our approach is characterized by iteratively developed models and prototypes as well as agile project management.

  • Build-in statistic/ UX design

We will set up statistics collection for analysis from your customers and optimize the UX design of your applications.