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

A deep exploration of how human psychology shapes fraud behavior and how those patterns become measurable signals in transaction data. This article reveals the behavioral, cognitive, and economic forces behind fraud, explaining how ML models detect deviations, anomalies, and intent hidden within financial transactions.

MS-Apriori is used for frequent item set mining and association rule learning over transactional data.

Simple web dashboard, which tracks transactions for one specified address on the Ethereum 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.

A simplified tool that analyzes mock banking transaction data, identifies spending patterns, categorizes expenses, and visualizes results clearly.

TimeSeries Analysis-TimeSeries Forecasting-Exponential Smoothing-Arima-Mape Evaluation-Insight Business

Lifestyle advices based on the transaction data

A Python tool for analyzing Ethereum blocks using Web3.py.

In this project I Created a machine learning model to predict a transaction will fail or not.

RFM-based customer segmentation analysis for an e-commerce dataset. Includes data cleaning, exploratory analysis, Recency-Frequency-Monetary scoring, segment classification, visual dashboards, and strategic business insights. Designed to identify high-value customers and guide targeted marketing actions

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

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.

Using regression functions like REGR_SLOPE and REGR_INTERCEPT, I built a revenue model, calculated the optimal price point, and compared it with real transaction data to validate the result.

Sistema de registro de transações baseado na tecnologia Blockchain