Tier 3 / Machine learning · Applied AI

Fake News Detection System using Python, NLP & Machine Learning

A Python and NLP classification project retained as supporting technical work pending a complete data and evaluation audit.

Supporting archivesource mapping pending

NLP experiment pipeline

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Text input

The experiment begins with text as the recorded input type.

A technical walkthrough drawn from the recorded Python, NLP, and TF-IDF stack.

A focused walkthrough based on the recorded project scope. It is not presented as a historical product screen.

Dataset, license, exact files, evaluation results, and deployment evidence remain unconfirmed.

What the recorded work makes inspectable.

The recorded implementation focuses on Python, Pandas, scikit-learn, TensorFlow, Keras, NLP. The project remains concise while keeping its technical boundary clear.

Source and implementation context.

Focus: Testing and validation
Recorded approach: Python · Pandas · scikit-learn · TensorFlow
Evidence: Project registry and recorded scope