Predicting Loan State with SVM method, preprocessing and feature selction

💚 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

Designed a Movie Recommender system which suggest Top 10 movies similar to what user has selected. Applied TF-IDF and Sigmoid kernel to compute similarity between movie summaries. Deploy the model using streamlit package to understand how model is executed at the backend.

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

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.

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