Predictions

Python

Python

Docker

Docker

We have developed a machine learning algorithm capable of predicting real estate prices in New Caledonia. This prototype, deployed on Microsoft Azure, is accessible through a graphical interface that allows users to interact with the model and obtain real-time price estimates. This application demonstrates how ML technologies can be applied to provide concrete and useful solutions in the real estate sector.

Technologies Used in Data Science at Skazy.AI

For our Data Science projects, we use a suite of advanced technologies for the development and deployment of models:


  • Python: Programming language of choice for developing AI models, using specialized libraries such as Scikit-Learn, Keras, PyTorch, and TensorFlow.


  • Docker: Used for containerization and deployment of AI models, ensuring portability and consistency of execution environments.


  • Google Cloud and Microsoft Azure: Cloud platforms used to deploy and manage our large-scale data science applications, offering flexibility, computing power, and integrated artificial intelligence services.

Our Work

We combine technical expertise and strategic vision to offer customized AI solutions that optimize your operations. Our services encompass predictive analytics and conversational AI integration, using a collaborative approach to precisely meet your needs.

Our Work

We combine technical expertise and strategic vision to offer customized AI solutions that optimize your operations. Our services encompass predictive analytics and conversational AI integration, using a collaborative approach to precisely meet your needs.

Our Work

We combine technical expertise and strategic vision to offer customized AI solutions that optimize your operations. Our services encompass predictive analytics and conversational AI integration, using a collaborative approach to precisely meet your needs.

Contact Us

A project, challenge your data, a prototype?

Contact Us

A project, challenge your data, a prototype?

Contact Us

A project, challenge your data, a prototype?