Updated readme

Niketkumardheeryan · Aug 5, 2024 · 4353392 · 4353392
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diff --git a/Cyberbullying Classification/README.md b/Cyberbullying Classification/README.md
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-# Fetal Health Classification
+# Cyberbullying Classification
 
 ## Overview
 The goal is to analyze tweets to classify them into categories of cyberbullying and non-cyberbullying using NLP techniques and machine learning models.
 
 ## Dataset
 The dataset contains over 47,000 tweets labeled into six categories: Age, Ethnicity, Gender, Religion, Other type of cyberbullying, and Not cyberbullying.
 
-Link to the dataset: [Fetal Health Classification Dataset](https://www.kaggle.com/datasets/andrewmvd/cyberbullying-classification/data)
+Link to the dataset: [Cyberbullying Classification Dataset](https://www.kaggle.com/datasets/andrewmvd/cyberbullying-classification/data)
 
 
 ## Models Used

diff --git a/Cyberbullying Classification/cyberbullying-classification.ipynb b/Cyberbullying Classification/cyberbullying-classification.ipynb
@@ -4717,7 +4717,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.11.0"
   },
   "papermill": {
    "default_parameters": {},