Course Outcomes
1. Understand fundamental machine learning concepts, terminologies, and issues including data preprocessing and overfitting
2. Apply various regression and classification techniques to model and predict from datasets
3. Analyze principles of clustering methods and evaluate their suitability for different data
4. Evaluate machine learning model performance using relevant metrics and select feature reduction techniques
1. Understand fundamental machine learning concepts, terminologies, and issues including data preprocessing and overfitting
2. Apply various regression and classification techniques to model and predict from datasets
3. Analyze principles of clustering methods and evaluate their suitability for different data
4. Evaluate machine learning model performance using relevant metrics and select feature reduction techniques
- Teacher: Vipin Kumar Sharma