Course description

Domain Track: Data Science and Machine Learning

Data Science and Machine Learning focus on extracting insights from large datasets and using algorithms to make predictions and automate decision-making. This domain integrates statistical analysis, data mining, and computational techniques to uncover patterns and trends. Machine Learning, a subset of AI, enables systems to improve performance over time through experience. Data Science and Machine Learning are applied across industries such as healthcare, finance, e-commerce, and manufacturing, driving innovations in personalized recommendations, predictive analytics, and automation. This field empowers organizations to leverage data for strategic advantage.

What will i learn?

• CO1 Able to gain knowledge on design and implementation of various machine learning algorithms in a range of real world applications.
• CO2 Able to analyze prediction and classification using different ML and deep learning methods
• CO3 Ability to solve real world problems using ML solutions in their respective fields of study.
• CO4 Ability to design product
• CO5 Able to do research for publishing articles/ file patents