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In this end-to-end project, we'll guide you through building a spam classifier for both emails and SMS messages. Learn the steps involved in creating a reliable spam detection system and witness the deployment on Heroku. Working Demo: https://esc-campusx.herokuapp.com/ Dataset: https://www.kaggle.com/uciml/sms-spam-collection-dataset Code : https://github.com/campusx-official/sms-spam-classifier ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in/s/store ============================ đ± Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at [email protected] âTime Stampsâ 00:00 - Intro 00:54 - Project Demo 02:50 - UCI ML Dataset 04:41 - Creating Jupyter Notebook/Checking The Data 05:55 - Stages of the Project 07:30 - Data Cleaning 12:20 - EDA 29:17 - Text Preprocessing 54:25 - Model Building 01:09:17 - Improving model performance 01:20:20 - Creating the project in Pycharm 01:33:00 - Deployment on Heroku 01:39:30 - Outro
