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UNUSUAL TRANSACTION DETECTION USING MACHINE LEARNING (Data Collection…
UNUSUAL TRANSACTION DETECTION USING MACHINE LEARNING
Data Collection
Logic development
Access for data source
Data source indetifcation
survey design if needed
Data identification
01.Background setup
Hardware requirement finalization
Purchase any hardware
Get approval for hardware
Software requirement finalization
Purchase software
licence update
Approval form ICT
Selecting core team members
Brainstorming sessions
Training sessions
Data Normalization
Data clearance
normalizing dirty data
ML models identification
Understanding challenges
Reviving data
Data Modeling
Sample selection
Testing models
Model the data set
Analyse the model results
Model Training and Feature Engineering
Analyse the actual results
Validating model
Testing with actual data
Continue training model
Deploying Models to real time trasaction