AI3000R - Artificial Intelligence for Business Applications

This repository contains coursework and assignments for AI3000R - Artificial Intelligence for Business Applications at the University of South-Eastern Norway (USN).

Course Overview

This course focuses on the impact of Artificial Intelligence on organizations and society. Students learn principles and methods for developing smart AI data-dependent solutions through machine learning, deep learning, and data mining techniques applied to practical industry challenges.

Repository Structure

├── assignment_01/          # What Is Intelligence? - Philosophical exploration
├── assignment_02/          # Customer Churn Prediction - Classification project
├── assignment_03/          # Sales Forecasting - Regression analysis
├── assignment_04/          # Unsupervised Learning (K-Means and MeanShift)
├── assignment_05/          # Generative AI
└── README.md

Each assignment folder contains its own README with detailed instructions and requirements.

Learning Objectives

• Understanding AI principles and methods
• Implementing machine learning solutions to real-world business problems
• Analyzing data through various AI techniques
• Developing practical AI-driven projects
• Ethical and legal considerations in AI applications

Technologies

• Python 3.x
• scikit-learn
• NumPy
• Matplotlib
• TensorFlow 2

Academic Integrity

This repository contains my solutions to course assignments. While the code is public for portfolio purposes, please respect academic integrity policies if you're taking this course.

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Course: AI3000R
Institution: University of South-Eastern Norway (USN)
Semester: Spring 2026
Instructor: Ph.D. Peyman Teymoori