Credit-Fraud-Detection

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

Lending-Club-Loans

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

Titanic-survival-classification

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