In this endtoend 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://esccampusx.herokuapp.com/

Dataset: https://www.kaggle.com/uciml/smsspam...

Code : https://github.com/campusxofficial/s...

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Do you want to learn from me?
Check my affordable mentorship program at : https://learnwith.campusx.in/s/store
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Grow with us:
CampusX' LinkedIn:   / campusxofficial  
CampusX on Instagram for daily tips:   / campusx.official  
My LinkedIn:   / nitishsingh03412789  
Discord:   / discord  
Email us at [email protected]

⌚Time Stamps⌚

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