Build Your First Email Spam Classifier – A Practical ML
From Inbox to Insight: Learn ML by Fighting Spam
About This Course
Build Your First Email Spam Classifier – A Practical ML is a beginner-friendly international workshop that offers a perfect gateway into the world of machine learning. Through the creation of an end-to-end spam detection system, participants will learn essential ML concepts including data preprocessing, feature extraction, model training, evaluation, and performance tuning.
With a strong emphasis on hands-on coding and practical implementation, learners will walk away with both knowledge and a portfolio-ready project.
Aim
To introduce participants to machine learning (ML) through a practical, real-world application: building an email spam classifier using Python. The workshop aims to cover the complete ML pipeline from data preparation to model deployment in an easy-to-understand, hands-on format.
Workshop Objectives
- Teach practical machine learning using a hands-on project
- Make learners comfortable with tools like scikit-learn, Pandas, and NLTK
- Introduce basic ML models suitable for NLP tasks
- Empower participants to apply their skills in other text classification use cases
Workshop Structure
Day 1: Understanding the Problem and Preparing Your Data
● ML Basics & Spam Filtering Relevance
● Setting Up Google Colab
● Exploring & Cleaning Spam Dataset
Day 2: Building and Training the Decision Tree Model
● Feature Engineering
● Training a Decision Tree Classifier
● Intro to Model Evaluation
Day 3: Evaluating, Optimizing & Deploying Your Model
● Confusion Matrix & Hyperparameter Tuning
● Visualizing Decision Tree
● Real-world Use & Deployment Ideas
Who Should Enrol?
- Students (UG/PG) from any STEM background
- Beginners in data science or machine learning
- Software developers seeking hands-on AI/ML experience
- Educators and academic researchers
- Anyone interested in practical applications of ML with Python
Important Dates
Registration Ends
05/12/2025
IST 3:00 PM
Workshop Dates
05/12/2025 – 05/14/2025
IST 5 PM
Workshop Outcomes
- Understand the complete ML development lifecycle
- Learn text preprocessing and feature engineering techniques
- Build and evaluate a working spam classifier
- Gain confidence to work on classification problems using real data
- Receive a recognized certification and reusable code templates
Fee Structure
Student
₹1999 | $50
Ph.D. Scholar / Researcher
₹2499 | $55
Academician / Faculty
₹2999 | $60
Academician / Faculty
₹4999 | $75
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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