Machine Learning Tutorial: Fraud Detection скачать в хорошем качестве

Machine Learning Tutorial: Fraud Detection

Learn how to build an end-to-end machine learning pipeline for Credit Card Fraud Detection using Predibase and open-source Ludwig in 10 minutes. This demo will cover three key steps: 1. Easily connect to and preprocess a large corpus of tabular transactional data 2. Explore our data and implement strategies to deal with class imbalance which is common in fraud datasets 2. Use declarative ML to rapidly train a series of neural networks and GBM models to see which technique works best for automating the detection of fraudulent transactions Start building with Predibase with a free trial: https://pbase.ai/GetStarted Join the Ludwig community: https://www.Ludwig.ai