naidu199/CodeWay-ML-

Internship work on machine learning using classifications ans natural language processing

19
/ 100
Experimental

This project offers examples of machine learning models for common business and analytical tasks. It takes in structured data like credit card transaction details, customer demographics, or text like movie plots and SMS messages, and outputs predictions such as movie genres, fraudulent transactions, customer churn risk, or spam identification. Data scientists and analysts can use this as a starting point for building predictive models in various domains.

No commits in the last 6 months.

Use this if you are a data scientist or analyst looking for pre-built code examples for common classification tasks like fraud detection, customer churn prediction, or spam filtering.

Not ideal if you need a ready-to-use application or a highly polished, production-ready solution without any further development.

predictive-analytics fraud-detection customer-retention spam-filtering natural-language-processing
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 6 / 25

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Last pushed

Feb 13, 2024

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