Course Overview
Master the fundamentals of Machine Learning with hands-on projects and real-world applications.
What You Will Learn:
- Supervised Learning Algorithms
- Unsupervised Learning & Clustering
- Neural Networks Basics
- Model Evaluation & Validation
- Feature Engineering
- Python for ML (NumPy, Pandas, Scikit-learn)
Course Structure:
- Duration: 12 weeks
- 10 modules with video lectures
- Hands-on coding assignments
- Final capstone project
- Certificate upon completion
There are no items in the curriculum yet.