MACHINE LEARNING (2/1 Credits)
Learning Outcomes:
On successful completion of this course, student will be able to:
- Explain concepts and challenges of machine learning systems
- Demonstrate feature engineering techniques on the dataset to get important features for modelling
- LConstruct supervised and unsupervised learning models using python for solving a given problem
- Examine the best machine learning model for a given problem
Topics:
- Machine Learning Landscape
- End-to-End Machine Learning Project
- Classification
- Training Models
- Support Vector Machines
- Decision Trees
- Esemble Learning
- Dimensionality Reduction
- Unsupervised Learning
- Classification
- Training Models
- Support Vector Machine
- Ensemble Learning
- Unsupervised Learning
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