Tag: data science
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Credit Card Fraud Detection with Random Forest
Credit card fraud is a major problem in the financial industry. Fraudulent transactions can cause significant losses for both cardholders and financial institutions. However, detecting credit card fraud is a challenging problem, especially when the data is imbalanced. This means that the number of fraudulent transactions is much lower than the number of non-fraudulent transactions.…
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Python Monte Carlo simulation – describing a cyber threat landscape
Monte Carlo simulation is a powerful mathematical technique that can be used to model a wide range of systems, from financial markets to physical systems. At its core, Monte Carlo simulation is based on the idea of using random sampling to understand the underlying probability distributions of a system. The basic idea behind Monte Carlo…