Project information
- Category: Machine Learning Classifier
- Client: Group Project
- Project date: May, 2021
- Project URL: SpamClassifier
More Detail
In order to implement the most useful spam classifier, we conducted several experiments using various spam classifiers to see which spam classifier has the best performance. The spam classifiers we tested include SVM/SVC, Naive Bayes Gaussian, Naive Bayes Multinomial, KNN, Linear Regression, and Random Forest.