In this project I Created a machine learning model to predict a transaction will fail or not.
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Updated
Jul 18, 2024
In this project I Created a machine learning model to predict a transaction will fail or not.
Signal PrOcEssing Features for transaction/balance data - Package
Demonstrates how Python's lifetimes package can identify high-value customers and predict their future purchasing behavior. Utilizing the BG/NBD model to forecast purchase frequency and the Gamma-Gamma model to estimate transaction value, this repository aids in crafting targeted marketing strategies.
TimeSeries Analysis-TimeSeries Forecasting-Exponential Smoothing-Arima-Mape Evaluation-Insight Business
Sistema de registro de transações baseado na tecnologia Blockchain
Tugas IYKRA Data MBA. Fraud Detection dengan Machine Learning, menggunakan data imbalanced dan dengan jumlah data yang cukup besar, lebih dari 600.000 data.
Applying SQL skills to analyze historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions.
Pipeline for analyzing fraud in card transaction data-sets with an addition of graph features, modeled using Random Forest
Lifestyle advices based on the transaction data
Simple web dashboard, which tracks transactions for one specified address on the Ethereum blockchain
MS-Apriori is used for frequent item set mining and association rule learning over transactional data.
Simple site that can merge transaction data from Nordnet/Avanza and present charts on dividend, portfolio, courtage etc
The official Engagement Cloud for Magento extension
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