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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

anandanraju / Titanic_Survival_Prediction_Model

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The sinking of the RMS Titanic is one of the most infamous shipwrecks in world history. In this model, need to analyse what sorts of people were likely to survive. We also need to apply the tools of machine learning to predict which passengers survived in this tragedy.

decision-tree-classifier gradient-boosting-classifier titanic-survival-prediction support-vector-classifier knearest-neighbor-classifier random-forest-classifier titanic-dataset gaussian-naive-bayes adaboos extra-tree-classifiers adaboost-classifier bagging-classifier
  • Updated Oct 18, 2022
  • Jupyter Notebook

anandanraju / Eligibility_Validation_Report_Model_for_Borrowing_Money_From_Bank

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In simple, a Loan (borrowing money from a bank) is the sum of money that you borrow from the bank or lending financial institution in order to meet needs. These needs could result from planned or unplanned events, and by borrowing, you incur a debt that you have to pay within the agreed duration on your contract.

jupyter-notebook confusion-matrix bank-loans loan-data random-forest-classifier extra-trees-classifier bagging-trees confusion-matrix-heatmap spyder-python-ide extra-tree-classifiers bagging-classifier
  • Updated Oct 25, 2022
  • 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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