SMS Spam Classifier
OtherTextClassification
Labeled and categorized SMS messages as spam or ham to create a training dataset for a supervised machine learning model. Applied text preprocessing and feature extraction techniques (CountVectorizer), then evaluated model performance using Naive Bayes and Random Forest classifiers. Gained hands-on experience with binary classification, text labeling, and data preparation workflows.
Labeled and categorized SMS messages as spam or ham to create a training dataset for a supervised machine learning model. Applied text preprocessing and feature extraction techniques (CountVectorizer), then evaluated model performance using Naive Bayes and Random Forest classifiers. Gained hands-on experience with binary classification, text labeling, and data preparation workflows.
2025 - 2025