Credit Card Fraud Detection Using SMOTE (Classification approach) : This is the 2nd approach I’m sharing for credit card fraud detection. We are going to explore resampling techniques like

Anomaly Detection using Gaussian (Normal) Distribution For training and evaluating Gaussian distribution algorithms, we are going to split the train, cross validation and test data sets using blow ratios.

Conditional Probability¶ Conditional probability as the name suggests, comes into play when the probability of occurrence of a particular event changes when one or more conditions are satisfied (these

Heterogeneous Ensemble Learning (Hard voting / Soft voting) Voting Classifier Suppose you have trained a few classifiers, each one individually achieving about 80% accuracy (Logistic Regression classifier, an SVM

Credit Card Fraud Detection, Anomaly Detection Using Python (Complete – Classification & Anomaly Detection) : Let us take a credit card fraud dataset from Kaggle (https://www.kaggle.com/mlg-ulb/creditcardfraud/Data). The datasets contains

How AI can create jobs ? “AI will increase efficiency and create jobs” We are in the beginning of era of AI which is evolving as next technological revolution.