Machine Learning Course

Ravendracroma09 May, 2024Education

To develop a spam detection model, collect a dataset of labeled emails (spam/ham). Preprocess text by tokenizing, removing stop words, and stemming/lemmatizing. Vectorize text using techniques like TF-IDF or word embeddings. Choose a classification algorithm such as Naive Bayes, SVM, or neural networks.