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

In this project, I predict whether a patient has a low or high chance of having a heart attack using classification

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.

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

Building a smodel using SVC

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