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Enterprise Programming (Professional Elective-1) – 24CM504

Posted by RAVULA KARTHEEK on September 25, 2025

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ENTERPRISE PROGRAMMING LAB MANUAL (R20) - ANU

Posted by RAVULA KARTHEEK on September 23, 2025

Enterprise Java Java Java Development Java Programming Spring Framework

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RAVULA KARTHEEK

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Full Stack Development Material (FSD)

Full Stack Development Full-stack development is creating an entire website or web app by developing both parts separately . View PDF

Object Oriented Programming (OOP) Previous Year Question Papers (2021–2025) – Download PDF

Object Oriented Programming (OOP) Previous Year Question Papers PDF (2021–2025) Are you prepping for your Object Oriented Programming (OOP) exam and have no idea where to find good resources? Here is a place that lets you download OOP Previous Year Question Papers from academic years 2021, 2022, 2023, 2024, and 2025 as high-quality PDFs! Great for all students in BCA, B.Tech, BSc CS, MCA, and every other computer science programme in higher education. Studying OOP PYQs answers the following questions: What is the exam pattern of my OOP exam? How to best manage my time on test day? Am I ready for the OOP exam? Whether preparing for internal assessments or semester finals, using OOP Previous Year Question Papers will ensure you get an ample grasp of topics covered throughout the course and recent question trends that could help increase your score at the end of the term. ⭐Why You Should Work on OOP PYQs Answering OOP Previous Year Question Papers will help you to: Develop familiarity...

Reinforcement Learning Notes for Machine Learning and AI Students

Reinforcement Learning concepts in Machine Learning and Artificial Intelligence Reinforcement Learning is a key concept of Machine Learning and Artificial Intelligence that teaches AI agents how to learn optimal behaviours based on experiences (rewards and/ or penalties) they receive as they interact with their environment. Reinforcement Learning is a practical and useful discipline in many modern-day applications including robotics, gaming, automation, and decision-making systems. Through Reinforcement Learning, students can learn how machines develop and enhance their performance via experience. Download well-organised Reinforcement Learning notes, unit-specific study material, and syllabi resources for engineering and data science students from the links below. All content is clearly organised to support academic learning, conceptual comprehension, and exam preparation. To learn more about Reinforcement Learning, check out the individual unit-based notes, syllabus and PDF previews a...

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