This repository serves as a comprehensive guide and record of my progress as I explore and learn machine learning concepts and techniques.
I will be following the Introduction to Machine Learning Specialization on Coursera. This specialization offers foundational knowledge and hands-on skills to start a career in machine learning. Below are the course details:
| Course | Description |
|---|---|
| Supervised Machine Learning | Fundamentals of supervised ML, key algorithms, and hands-on implementation. |
| Unsupervised Machine Learning | Clustering and dimensionality reduction for insightful data analysis. |
| Deep Learning | Introduction to neural networks and deep learning for advanced pattern recognition. |
Additionally, I will be learning Python, along with other tools required for this course on the side. The repo for that can be found here.
📂 self-machine-learning
├── 📁 notes/ # Notes from watching the videos
├── 📁 datasets/ # Sample datasets used during the course
├── 📁 notebooks/ # Jupyter notebooks for all completed assignments and experiments
├── 📁 scripts/ # Python scripts for utility functions and reusable components
├── 📁 models/ # Saved models for evaluation and deployment
└── 📄 README.md # This file
| Category | Technologies |
|---|---|
| Programming Languages |  |
| Libraries & Frameworks |      |
| Tools |   |
| Module | Status | Completion Date |
|---|---|---|
| Supervised Machine Learning | 🔄 In Progress | TBD |
| Univariate Linear Regression | ✅ Completed | 06/01/25 |
| Linear Regression with Multiple Variables | ✅ Completed | 10/01/25 |
| Polynomial Regression | ✅ Completed | 12/01/25 |
| Classification Basics | ✅ Completed | 14/01/25 |
| Unsupervised Machine Learning | ⏳ Not Started | TBD |
| Deep Learning | ⏳ Not Started | TBD |
- Develop a solid understanding of machine learning fundamentals.
- Implement machine learning algorithms using Python.
- Apply ML models to real-world datasets.
- Document every step of the journey for future reference and sharing.
If you've got any suggestions to help me out, feel free to reach out on my socials! Find my socials here.