AI-Powered Breast Cancer Detection: Practice Predictive Analysis

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Course Highlights

This course helps you build a solution for detecting bias in writings such as Letters of Recommendation, Job Descriptions, etc with respect to gender and race for promoting equity.
You can choose any topic of your choice and use this solution source to check it for the gender bias.
Build, customize and showcase your own open source-based Breast Cancer Detector in under 1 hour.
Learn core concepts of Predictive Analysis and Support Vector Machines.
Get a verified certificate.

You will learn to apply & compare different machine learning algorithms to build your own Breast Cancer Prediction Model.
Learn to use scikit-learn framework to work with toy datasets and also how to tune model parameters.
Checkout the model’s performance using different metrics like accuracy, precision, recall and confusion matrix.

Gain practical knowledge of implementing supervised algorithms.
Build many more similar solutions around healthcare diagnosis, content recommendation.
Work with the latest state of art models & libraries.

Fundamentals of Predictive Analysis with a focus on Support Vector Machines
Hands-on session to build a Predictive Analysis Model for Breast Cancer Prediction
10 mins of theory via a video tutorial
35 mins of practical exercise
15 mins of assessment including a practical exercise