Getting Started with Predictive Analysis Kit

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

Source Code for Breast Cancer Prediction Using Sklearn

Breast-Cancer-Prediction Using Sklearn implementing SVM

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

🔎 Decision Tree 🔎 Linear Regression 🔎 Logistic Regression 🔎 Naive Bayes 🔎 KNearest Neighbor