Welcome to my Machine Learning Journey!
This repository documents my daily learning progress as I build a strong foundation in Machine Learning, Artificial Intelligence, and Data Science.
Throughout this journey, I completed the Machine Learning Specialization by DeepLearning.AI while documenting my notes, reflections, and practical understanding of every topic I learned.
Hi, I'm Rehana Hassan.
I'm a Software Engineering graduate and Data Analyst transitioning into Machine Learning and Artificial Intelligence.
My goal is to become an AI & Machine Learning Engineer by continuously learning, building real-world projects, and sharing my progress publicly.
This repository serves as my public learning journal throughout the Machine Learning Specialization.
Inside this repository you'll find:
- 📌 Daily learning notes
- 🧠 Concepts explained in simple language
- 💻 Hands-on practice summaries
- 📊 Learning progress
- 🏆 Milestones and achievements
- 📜 Certificates
- 💡 Personal reflections
- Build a strong Machine Learning foundation
- Understand supervised, unsupervised, and reinforcement learning
- Master neural networks and deep learning fundamentals
- Build practical Machine Learning projects
- Continue learning modern AI technologies
- Become an AI & Machine Learning Engineer
machine-learning-journey/
│
├── course-01-supervised-learning/
│ ├── Day-01/
│ ├── Day-02/
│ ├── Day-03/
│ ├── Day-04/
│ ├── Day-05/
│ └── Day-06/
│
├── course-02-advanced-learning-algorithms/
│ ├── Day-01/
│ ├── Day-02/
│ ├── ...
│ └── Day-14/
│
├── course-03-unsupervised-learning/
│ ├── Day-01/
│ ├── Day-02/
│ ├── ...
│ └── Day-6/
│
├── milestones/
│ ├── milestone-1-course-1-completed.md
│ ├── milestone-2-course-2-completed.md
│ └── milestone-3-machine-learning-specialization-completed.md
│
├── certificates/
│ ├── course-01-certificate.png
│ ├── course-02-certificate.png
│ ├── course-03-certificate.png
│ └── machine-learning-specialization-certificate.png
│
└── README.md
Each day contains notes, key concepts, and reflections from my learning journey.
Topics covered:
- Linear Regression
- Multiple Linear Regression
- Gradient Descent
- Feature Scaling
- Feature Engineering
- Polynomial Regression
- Logistic Regression
- Classification
- Decision Boundaries
- Cost Functions
Topics covered:
- Neural Networks
- Forward Propagation
- TensorFlow
- Activation Functions (Sigmoid & ReLU)
- Softmax Classification
- Model Evaluation
- Bias & Variance
- Decision Trees
- Random Forest
- XGBoost
- Best Practices for Machine Learning
Topics covered:
- K-Means Clustering
- Anomaly Detection
- Collaborative Filtering
- Content-Based Filtering
- Recommender Systems
- Reinforcement Learning
- Markov Decision Process (MDP)
- State-Action Value Function (Q-Function)
- Bellman Equation
- Deep Q-Learning Concepts
- Continuous State Spaces
- ε-Greedy Policy
| Course | Status |
|---|---|
| ✅ Course 1 — Supervised Machine Learning | Completed |
| ✅ Course 2 — Advanced Learning Algorithms | Completed |
| ✅ Course 3 — Unsupervised Learning, Recommenders & Reinforcement Learning | Completed |
- 🏆 Supervised Machine Learning: Regression and Classification
- 🏆 Advanced Learning Algorithms
- 🏆 Unsupervised Learning, Recommenders & Reinforcement Learning
- 🏆 Machine Learning Specialization
- Python
- NumPy
- Pandas
- Matplotlib
- Scikit-learn
- TensorFlow
- Jupyter Notebook
- SQL
- Git
- GitHub
I believe that consistent learning leads to meaningful growth.
Throughout this journey I focused on:
- 📚 Understanding concepts deeply
- 💻 Practicing through coding
- 📝 Writing clear notes
- 🚀 Building practical projects
- 🌍 Sharing my progress publicly
Small progress every day leads to big achievements.
Now that I've completed the Machine Learning Specialization, my next goals are:
- Build end-to-end Machine Learning projects
- Learn Deep Learning in greater depth
- Study Computer Vision
- Explore Natural Language Processing (NLP)
- Learn MLOps and Model Deployment
- Build AI-powered applications
- Contribute to open-source AI projects
🔗 https://www.linkedin.com/in/rehana-hassan/
If you found this repository helpful or inspiring, feel free to:
⭐ Star the repository
🍴 Fork it
🤝 Connect with me on LinkedIn
Completing the Machine Learning Specialization has been one of the most rewarding milestones in my learning journey.
From learning my first Linear Regression model to understanding Reinforcement Learning, every lesson strengthened my knowledge and brought me closer to my goal of becoming an AI & Machine Learning Engineer.
This repository captures that journey—and it's only the beginning.
Thank you for visiting my repository! 🚀
"Learning never stops. Keep building, keep exploring, and keep growing." 🌱