💚 A heart disease classifier using 4 SVM kernels and decision trees, with PCA, ROC, pruning, grid search cv, confusion matrix, and more
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Updated
Dec 10, 2020 - Jupyter Notebook
💚 A heart disease classifier using 4 SVM kernels and decision trees, with PCA, ROC, pruning, grid search cv, confusion matrix, and more
A content-based recommender system that recommends movies similar to the movie plot and description
Building a smodel using SVC
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
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