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
C++ 170649 Version:1.15.0
C++ 170649 Version:1.15.0 License: Permissive (Apache-2.0)
Python 52681 Version:1.2.0
Python 52681 Version:1.2.0 License: Permissive (BSD-3-Clause)
Python 22522 Version:1.24.1
Python 22522 Version:1.24.1 License: Permissive (BSD-3-Clause)
HTML 0 Version:Current
HTML 0 Version:Current License: No License
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
Popular Machine Learning Algorithms for Predictive Analysis
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