💚 A heart disease classifier using 4 SVM kernels and decision trees, with PCA, ROC, pruning, grid search cv, confusion matrix, and more

Support Vector Machines (SVMs in short) are supervised machine learning algorithms that are used for classification and regression purposes. In this kernel, I have build a Support Vector Machines classifier to classify a Pulsar star. I have used the Predicting a Pulsar Star dataset for this project.

I have implemented support vector machine classifier on the same dataset but using different kernels and have compared their accuracies with each other

Building a smodel using SVC

A content-based recommender system that recommends movies similar to the movie plot and description