Machine learning
Course Description
Course Fees :1000 Rs
Eligibility
Undergraduate (Computer Science/Information Technology background)
Duration
120 Hours (4 Credit)
No. of seats : 30
PO1: Model Development - Build and evaluate machine learning models using real datasets.
PO2: Data Preprocessing - Perform data cleaning, feature engineering, and data transformation.
PO3: Tool Usage - Use ML tools/frameworks such as Python, Scikit-learn, TensorFlow (basic exposure).
PO4: Deployment Awareness - Understand basics of deploying ML models in real-world applications.
PO2: Data Preprocessing - Perform data cleaning, feature engineering, and data transformation.
PO3: Tool Usage - Use ML tools/frameworks such as Python, Scikit-learn, TensorFlow (basic exposure).
PO4: Deployment Awareness - Understand basics of deploying ML models in real-world applications.