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Breast Cancer Detection using Modin and scikit-learn* (sklearn): Developer Spotlight

Ramya_Ravi
Employee
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Breast cancer is a disease that forms in the cells of the breasts and can grow out of control. This cancer is the most common cancer diagnosed in women after skin cancer. Breast cancer is more common in women but can occur in both men and women. It is necessary to detect breast cancer at the initial stages to improve the prognosis and chance of survival significantly. Machine learning is more frequently used for breast cancer pattern detection.

Arnab Das in his blog proposed a solution to Breast Cancer Detection using Intel® Distribution of Modin*, Intel® Developer Cloud and Intel® Extension for Scikit-learn*.

The blog explains the various steps involved in the project:

  1. Installation of required libraries.
  2. Data Collection & Preparation
  3. Model Training
  4. Model Testing

Read and learn more about the project at Breast Cancer Detection using Intel® AI Analytics Toolkit (AI Kit).

Learn more about Intel Extension for Scikit-learn and Intel Distribution of Modin!!!

Intel Extension for Scikit-learn: This Intel Extension seamlessly speeds up your scikit-learn applications for Intel architectures across single and multi-node configurations. Also, this extension package dynamically patches scikit-learn estimators while improving performance for your machine learning algorithms. By using Scikit-learn with this extension, the performance for training and inference can be improved up to 100x with the equivalent mathematical accuracy.

Intel Distribution of Modin: Modin is a drop-in replacement for the extensively used Python library, Pandas. Intel Distribution of Modin is a performant, parallel, and distributed dataframe system that accelerates Pandas while using a fully compatible API. This adds optimizations to further accelerate processing on Intel® hardware.

Download Intel Extension for Scikit-learn and Intel Distribution of Modin as part of the Intel® AI Analytics Toolkit (AI Kit).

What’s Next?

We encourage you to learn more about and incorporate Intel’s other AI/ML Framework optimizations and end-to-end portfolio of tools into your AI workflow. Also, visit AI & ML page covering Intel’s AI software development resources for preparing, building, deploying, and scaling your AI solutions.

For more details about the new 4th Gen Intel® Xeon® Scalable processors, visit Intel's AI Solution Platform portal where you can learn how Intel is empowering developers to run end-to-end AI pipelines on these powerful CPUs.

About the Author:

Arnab Das is currently working as a Full Stack Engineer at EdgeVerve in Bengaluru, India. His major interests are artificial intelligence, machine learning and blockchain technology.

About the Author
Product Marketing Engineer bringing cutting edge AI/ML solutions and tools from Intel to developers.