✔ Text Message Spam Detection Model

Created a NLP and ML Model for detecting spams in text messages.
Given the dataset in .tsv format (tab separated values format), First read the data using pandas library.
Afterwards, with the basics of Natural Language Processing, utilizing the nltk(Natural Language Toolkit) library for Python, as well as the state of the art Spacy library for ultra fast tokenization, parsing, entity recognition, and lemmatization of text.
Then final ML model is done by training the cleaned data and there by testing it.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Basics		Basics
Count Vectorization		Count Vectorization
Final ML Model		Final ML Model
Preprocessing		Preprocessing
datasets		datasets
NLTK Setup and Overview.ipynb		NLTK Setup and Overview.ipynb
README.md		README.md

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