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extra-tree-classifiers

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prakhargurawa / Titanic-Survival-Predictor

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Trying to predict survival rate of passengers using algorithms like Logistic Regression, Ada Boost, Gradient Boost , Decision Tree Classifiers , Extra Tree Classifiers , Random Forest Classifiers and XG Boost with appropriate data preprocessing techniques.

python machine-learning scikit-learn machine-learning-algorithms python3 adaboost feature-engineering datapreprocessing datapreparation decision-tree-classifiers xg-boost extra-tree-classifiers random-forest-classifiers titanic-survival-predictor
  • Updated Nov 19, 2020
  • Jupyter Notebook

vasupatelll / Text_Messgae_Spam_Classifier

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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.

embeddings word-cloud logistic-regression support-vector-machines decision-tree-classifier gradient-boosting-classifier count-vectorizer sms-spam-detection porter-stemmer multinomial-naive-bayes random-forest-classifier ada-boost-classifier extra-trees-classifier gaussian-naive-bayes tfidf-vectorizer xgboost-classifier k-nearest-neighbor-classifier bernoulli-naive-bayes extra-tree-classifiers bagging-classifier
  • Updated Feb 28, 2024
  • Jupyter Notebook

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