AI Course Assignments Repository

This repository contains my projects in machine learning:

Machine Learning Projects

This repository contains practical machine learning projects organized by topic. Each folder focuses on a specific concept and includes a small, hands-on project for experimenting, exploring, and learning applied skills.

Topics

• dataset-preparation/
• data-visualization/
• classification/
• linear-regression/
• polynomial-regression/
• support-vector-machines/
• decision-trees/
• random-forest/
• ensemble-methods/
• dimensionality-reduction/
• clustering/
• anomaly-detection/
• deep-learning/

Project folder structure (each topic)

Example: linear-regression/

• linear-regression/student_habits_performance.csv
• linear-regression/linear_regression.ipynb
• linear-regression/README.md

How to use

• Open a topic folder and launch the notebook (.ipynb) directly in Google Colab.
• All datasets are included in the project folder, so you can run the notebook without installing anything.