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This is the Stage G of the Hamoye Data Science Internship
Your task is to model with Stochastic Gradient Descent.
Your task is to model with CatBoost Classifier.
Your task is to model with Support Vector Machine using poly kernel.
Your task is to model with Support vector machine (SVM) using the rbf kernel trick.
Your task is to model using MLP
Your task is to model with gradient boosting trees.
Your task is to model with Elliptic Envelope.
Your task is to model with random forest.
Your task is to model with Support Vector Machine using the linear kernel.
Your task is to model with Gaussian Naive Bayes.
Your task is model with Light Gradient Boosting Machine.
Your task is to model with Adaptive Boosting Tree.
Your task is to model with Local Outlier Factor.
Your task is to model with Decision Tree Classifier.
Your task is to model with Isolation Forest.
Your task is to model with Support Vector Machine using sigmoid kernel.
Your task is to model with KNN.
Your task is to model with XGBoost.
Your task is to model with Multinomial Naive Bayes.
Your task is to model with Extra Trees Classifier.
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