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Predictive analytics is a branch of advanced analytics that makes predictions about future outcomes using historical data combined with statistical modeling, data mining techniques and machine learning.
This kit has been curated with
✅ Best Predictive Analysis open source libraries to get you started
✅ Popular Predictive Analysis topics with developers
✅ Collection of Predictive Analysis resources - blogs, books, tutorials, and more
✅ Example project on Breast Cancer Prediction using Support Vector Machines that you can build in 30 mins (Recording of hands-on training session provided)
Best Predictive Analysis open source libraries to get you started
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Source Code for Breast Cancer Prediction Using Sklearn
Link to the dataset and Research Paper
Early-stage diagnosis significantly increases the chances of survival. The key challenge against Breast Cancer Detection is how to classify tumors into malignant (cancerous) or benign(noncancerous). A simple support vector machine implementation is used to determine key performance metrics.
Wisconsin diagnostic dataset
Live demo on Breast Cancer Prediction that you can build in 30 mins
Here's a project with the installer, source code, and step-by-step tutorial that you can build in under 30 mins.
⬇️Get the 1-Click install Breast Cancer Prediction Engine
Watch recording of a live training session on Breast Cancer Prediction using Support Vector Machines