GitHub / vasupatelll / Email_Spam_Classifier
A Machine Learning Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like MultinomialNB, LogisticRegression, SVC, DecisionTreeClassifier, RandomForestClassifier, KNeighborsClassifier, AdaBoostClassifier, BaggingClassifier, ExtraTreesClassifier, GradientBoostingClassifier, XGBClassifier to compare accuracy an
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PURL: pkg:github/vasupatelll/Email_Spam_Classifier
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 660 KB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: almost 2 years ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: ada-boost-classifier, bagging-classifier, bernoulli-naive-bayes, count-vectorizer, decision-tree-classifier, embeddings, extra-tree-classifiers, extra-trees-classifier, gaussian-naive-bayes, gradient-boosting-classifier, k-nearest-neighbor-classifier, logistic-regression, multinomial-naive-bayes, porter-stemmer, random-forest-classifier, sms-spam-detection, support-vector-machines, tfidf-vectorizer, word-cloud, xgboost-classifier