Simple site that can merge transaction data from Nordnet/Avanza and present charts on dividend, portfolio, courtage etc
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Updated
Aug 8, 2021 - JavaScript
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
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
In this project I Created a machine learning model to predict a transaction will fail or not.
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.
Lifestyle advices based on the transaction data
A Python tool for analyzing Ethereum blocks using Web3.py.
Applying SQL skills to analyze historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions.
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
Signal PrOcEssing Features for transaction/balance data - Package
Pipeline for analyzing fraud in card transaction data-sets with an addition of graph features, modeled using Random Forest
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.
Sistema de registro de transações baseado na tecnologia Blockchain
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