NLP Project (Sentiment / Text Classification)

Summary

A dedicated NLP portfolio piece, ideally distinct from your Phase 10 practice project, demonstrating text preprocessing, feature representation, and model choice on a real text dataset.

How to Learn This

1Pick a text dataset and business question different from your Phase 10 exercise.
2Compare at least a classic (TF-IDF) and a modern (pretrained model) approach.
3Include example predictions, both correct and incorrect, in your write-up.

Kaggle Competition Submission

Time Series Forecasting Project

More projects in Build Your Data Science Portfolio

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