alyakram/Titanic-survival-classification

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Created almost 3 years ago
Updated almost 3 years ago

alyakram/Titanic-survival-classification

alyakram

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This dataset is from the Kaggle competition, trying to predict the people who survived from the test data provided using Random forest Classifier.

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Credit fraud detection in Python using a Jupyter Notebook , using three classification models (Random Forest, Gaussian Naive Bayes, Logistic Regression) from the sklearn library, and judging the performance based on accuracy, precision, recall and f1 score

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Using TensorFlow to create an ANN model to predict whether people would charge off or pay back their loans.

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