You will get Online payments fraud detection using machine learning
Project details
Used a credit card dataset for model evaluation with both Decision Tree Classifier and Random Forest Algorithm. These models were applied to determine high accuracy and this approach effectively differentiates between fraud and legitimate transactions, enhancing transaction security.
Machine Learning Tools
MATLAB, NumPy, pandas, Python, scikit-learnWhat's included $22
These options are included with the project scope.
$22
- Delivery Time 1 day
- Number of Revisions 5
- Number of Model Variations 2
- Number of Scenarios 0
- Number of Graphs/Charts 4
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
About Boda
Web developer,type writter
Siddipet, India - 12:42 am local time
Apart from the data entry job i can design a web page using html and css
I can perform c and python basic programs
Steps for completing your project
After purchasing the project, send requirements so Boda can start the project.
Delivery time starts when Boda receives requirements from you.
Boda works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset
Any transactional dataset will be taken into consideration for prediction.