Curriculum
- 11 Sections
- 37 Lessons
- 10 Weeks
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- Foundations of Machine Learning2
- Data Preprocessing and Feature Engineering3
- Supervised Learning Algorithms2
- Unsupervised Learning Algorithms3
- Ensemble Learning4
- Deep Learning Fundamentals4
- Advanced Machine Learning and Deep Learning Techniques4
- Model Deployment and Serving4
- ML Engineering and MLOps4
- Capstone Project4
- Additional Topics3
Math and Statistics for ML
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