sklearn-text-classification

An example of how to use CountVectorizer, TfIdf, FeatureUnion and Pipeline with a text classification with sklearn

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
.idea		.idea
data		data
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
Untitled.ipynb		Untitled.ipynb
bag_of_words.py		bag_of_words.py
buidling-a-pipeline.ipynb		buidling-a-pipeline.ipynb
data-preparation.ipynb		data-preparation.ipynb
data-review.ipynb		data-review.ipynb
gemini_ai_created.py		gemini_ai_created.py
gemini_llm.py		gemini_llm.py
split-test-train.ipynb		split-test-train.ipynb

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