Update README.md

Author: pranavvb03

NLP projects/README.md

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 ## Introduction
 Product categorization is the task of classifying products as belonging to one or more categories from a given taxonomy.It helps customers navigate an ecommerce store with ease. It deals with organizing our ecommerce products into categories and tags that give us a system to get customers to the exact product they are looking for quicker. This includes creating categories, tags, attributes and more to create a hierarchy for similar products. 
 
-## Table of Contents
-Dataset
-Usage
-Data and Preprocessing
-Model Overview
-Results
-Contributing
-Future Enhancements
-License
-
 ## Dataset
 The dataset used in this project is sourced from Kaggle(https://www.kaggle.com/datasets/sumedhdataaspirant/e-commerce-text-dataset) . It consists of >50000 records for 4 categories - "Electronics", "Household", "Books" and "Clothing & Accessories", which cover almost 80% of any E-commerce website.
 
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 ## Results
 
 MultinomialNB - 92%
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 SVC - 96%
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 RandomForestClassifier - 93.058%
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 LogisticRegression - 95%