04 - Splitting Dataset into Train and Test Sets | Roman Urdu Hate Speech Detection (ML Project)

04 - Splitting Dataset into Train and Test Sets | Roman Urdu Hate Speech Detection (ML Project)

Hate Speech Detection using Machine Learning for Roman Urdu

With the rise of online social media platforms, the issue of hate speech has become increasingly prevalent. Hate speech can lead to social tension and harm, especially in multilingual countries like Pakistan, where Roman Urdu is commonly used online. This project aims to develop a machine learning model to detect hate speech in Roman Urdu comments. The focus is on gathering a robust dataset of Roman Urdu comments from social media, pre-processing it, extracting relevant features, and training machine learning models to classify hate speech effectively. Additionally, a web interface will be developed post-completion to allow users to test the model's performance with real-time data.

In This Video We will Split Dataset into Train and Test

Train & Test Data
• Split the dataset into 70% training and 30% testing data for the machine learning models.


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