AI/ML Beginner Journey

Project 1: Spam Message Classifier (In Progress)

This repository is part of my structured AI/ML learning journey as a beginner in Artificial Intelligence and Machine Learning.

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🚀 Objective

To build a Spam Message Classifier from scratch while learning the fundamentals of:

• Python for ML
• Data preprocessing
• Text cleaning
• Feature extraction
• Basic ML workflow

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📅 Progress So Far

✅ Day 1 – Project Setup

• Installed Python libraries
• Set up development environment
• Understood the ML workflow
• Loaded dataset

✅ Day 2 – Data Understanding

• Explored dataset
• Checked class distribution
• Understood spam vs ham messages
• Basic data visualization

✅ Day 3 – Text Preprocessing

• Lowercasing text
• Removing punctuation
• Removing stopwords
• Basic text cleaning pipeline

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🛠️ Tech Stack

• Python
• Pandas
• NumPy
• Matplotlib
• Scikit-learn (planned)
• VS Code
• Git & GitHub

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📂 Project Structure

ML1/ └── spamclassifier/ ├── basics.py ├── index.html ├── script.js ├── test.py ├── txttobinary.py ├── README.md └── requirements.txt

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🎯 Current Status

Project paused at preprocessing stage due to academic workload.
Will continue model building and evaluation in the future.

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📌 Future Plan

• Convert text to numerical features (TF-IDF / Bag of Words)
• Train ML model (Naive Bayes / Logistic Regression)
• Evaluate model performance
• Improve accuracy
• Deploy simple web app (optional)

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💡 Why This Project?

As an aspiring AI/ML engineer, I believe in building fundamentals step by step rather than jumping directly into advanced models.

This project represents the beginning of that disciplined journey.

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⭐ Stay tuned for updates!