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In this course, you will :
- Understand the Machine Learning model to use for each problem category.
- Conduct thorough research.
- Have a strong understanding of numerous Machine Learning models.
- Learn Python and R Machine Learning.
Syllabus:
- Introduction to Machine Learning and MLOps
- Foundational basics of Classical Machine learning from scratch
- Assumptions and Analysis of Regression Models
- Tree Based Classification and Regression Models & Methods
- Unsupervised Learning Models - K Means
- Introduction to MLOps & Deep Dive into Production Strategies
- Flight Fare Prediction: Accurate and Timely Estimates for Affordable Travel
