Machine Learning presents comprehensive introduction to several topics on basic concepts and techniques of Machine Learning (ML). It also explores the understanding of the Supervised and unsupervised learning techniques, probability-based learning techniques, performance evaluation of ML algorithms and applications of ML.
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- UNIT I: Introducing C# and the .NET Framework
- Recursion
- Unit 2: The Physical Layer
- Linked List
- List Structures
- Queue Data Structure
- Stack Data Structure: ADT, Operations, and Applications
- Unit I: Introduction to Computer Networks
- Foundations of Data Structures & Algorithm Analysis
- BCA Result Published ( First Semester 2023 Batch | Third Semester 2022 Batch | Fourth Semester 2021 Batch )
