Customer churn is defined as the number of people stopped being customers over a certain time frame. It is a key metric for business and a high customer churn rate indicates that the customer is no longer interested in the company’s products or services.
Aishwarya in her blog proposed a solution for predicting customer churn using AI Tools, Intel® oneAPI Data Analytics Library and Intel® Tiber™ Developer Cloud.
- AI Tools – provides AI developers with familiar Python* tools and frameworks to accelerate end-to-end data science and analytics pipelines on Intel® hardware
- Intel oneAPI Data Analytics Library (oneDAL) - maximize the performance and build compute-intense applications that run fast on Intel architecture
- Intel Tiber Developer Cloud - accelerates AI workloads using Intel optimized software on the latest Intel hardware
The blog explains the various steps involved in the project:
- Data collection and preprocessing
- Model Training and validation on Intel Tiber Developer Cloud
- Fine-tuning the model
- Model deployment and inference
Read more about the project on Medium and GitHub.
What’s Next?
We encourage you to check out and incorporate Intel’s other AI/ML Framework optimizations and end-to-end portfolio of tools into your AI workflow and learn about the unified, open, standards-based oneAPI programming model that forms the foundation of Intel’s AI Software Portfolio to help you prepare, build, deploy, and scale your AI solutions.
About the Author:
Aishwarya is currently pursuing her bachelors in Artificial Intelligence and Machine Learning at Global Academy of Technology. She is passionate about machine learning, deep learning and data science.
Product Marketing Engineer bringing cutting edge AI/ML solutions and tools from Intel to developers.