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.
