Credit Card Fraud Detection Using SMOTE

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
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Anomaly Detection using Gaussian (Normal) Distribution

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.
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Naive Bayes Algorithm – Introduction to Text Analytics

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
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Heterogeneous Ensemble Learning (Hard voting / Soft voting)

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
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Credit Card Fraud Detection with Python

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
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How AI can create jobs ?

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.
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