Build Your First Email Spam Classifier – A Practical ML

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Table of Contents

Workshop Registration End Date :2025-05-12

Mentor Based

Program Syllabus

Module 1

About

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.

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Module 2

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.

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Module 3

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

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Module 4

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

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Module 5

Intended For

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

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Module 6

Important Dates

Module 7

Registration Ends

2025-05-12
Indian Standard Timing 3:00 PM

Module 8

Workshop Dates

2025-05-12 to 2025-05-14
Indian Standard Timing 5 PM

Module 9

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

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Module 10

Fee Structure

Module 11

Student

INR. 1999
USD. 50

Module 12

Ph.D. Scholar / Researcher

INR. 2499
USD. 55

Module 13

Academician / Faculty

INR. 2999
USD. 60

Module 14

Academician / Faculty

INR. 4999
USD. 75

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies

Module 15