AI–ML NAVTTC Course

Government-funded NAVTTC training program on Artificial Intelligence & Machine Learning with hands-on labs and real-world projects.

Overview

This repository contains course materials, notebooks, and assignments for the AI–ML NAVTTC Government Training Program. It’s designed to help learners build practical skills in Python, Data Science, Machine Learning, and Deep Learning basics.

What you’ll learn

• Python for data analysis (NumPy, Pandas, Matplotlib)
• Data preprocessing, EDA, and feature engineering
• Supervised & Unsupervised ML (Scikit-learn)
• Model evaluation & metrics
• Intro to Neural Networks & Deep Learning
• End-to-end ML project workflow

Repository Structure

ai-ml-navttc-course/
├─ notebooks/
│  ├─ 01_python_basics.ipynb
│  ├─ 02_pandas_eda.ipynb
│  ├─ 03_ml_workflow.ipynb
│  ├─ 04_classification.ipynb
│  ├─ 05_regression.ipynb
│  ├─ 06_clustering_dim_red.ipynb
│  └─ 07_intro_deep_learning.ipynb
├─ data/
├─ assignments/
├─ src/
├─ requirements.txt
└─ README.md

Getting Started

git clone https://github.com/fahad686/ai-ml-navttc-course.git
cd ai-ml-navttc-course
pip install -r requirements.txt
jupyter notebook

License

This project is licensed under the MIT License.

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