You will get Fraud Detection using machine learning
Project details
we are applying random forest algorithm for classify the credit card dataset. Decision tree is an algorithm for classification and regression. Summarily, it is a collection of decision tree classifiers. Decision tree has advantage over decision tree as it corrects the habit of over fitting to their training set. A subset of the training set is sampled randomly so that to train each individual tree and then a decision tree is built, each node then splits on a feature selected from a random subset of the full feature set.
Machine Learning Tools
PythonWhat's included
| Service Tiers |
Starter
$5,000
|
Standard
$6,000
|
Advanced
$7,000
|
|---|---|---|---|
| Delivery Time | 30 days | 30 days | 30 days |
Number of Revisions | 3 | 3 | 3 |
Number of Model Variations | 1 | ||
Number of Scenarios | 5 | ||
Number of Graphs/Charts | 3 | ||
Model Validation/Testing | - | - | |
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code | - | - | - |
About Girish
AI & Machine Learning | AI Consulting, AI Data Analytics, Core ML
Pune, India - 8:09 am local time
Steps for completing your project
After purchasing the project, send requirements so Girish can start the project.
Delivery time starts when Girish receives requirements from you.
Girish works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1: Requirement Gathering
Client purchases the project and shares detailed requirements Review business objectives, scope, and expected outcomes Clarify any doubts and finalize deliverables
Step 2: Data Collection & Understanding
Obtain datasets or required inputs from the client Analyze data structure, quality, and completeness Perform initial feasibility assessment