Welcome to the Semester-4 repository. This repository contains the assignments, projects, and research work completed during Semester‑4. It is organized into two main subjects: BIG_DATA and FAI.
This repository showcases work in two critical areas:
- BIG_DATA: Focusing on analytics, network anomaly detection, user activity analysis, and high-performance data processing.
- FAI: Covering fundamentals of artificial intelligence, including projects, examinations, and programming assignments.
Each subject folder is organized to provide a comprehensive look at the key concepts, methodologies, and applications in the respective field.
- Big Data Analytics:
- Techniques for processing and analyzing large-scale datasets.
- Network Anomaly Detection:
- Methods for detecting unusual patterns in network traffic using netflow data.
- User Activity Analysis:
- Approaches for examining user behavior and identifying anomalies in mobile wireless networks.
- Conceptual Frameworks:
- Research and conceptual papers outlining theories and methodologies in big data.
- High-Performance Computing:
- Insights into leveraging high-performance systems for efficient data processing.
- Historical Data Analysis:
- Studies and projects that review and analyze older big data assignments and experiments.
- AI Project Implementation:
- Practical projects that apply AI concepts in real-world scenarios.
- Examination & Assessment:
- Preparation materials and study resources for midterm and final exams.
- Group Projects & Collaborative Reports:
- Team-based assignments, milestone reports, and comprehensive final project documentation.
- Homework & Practical Assignments:
- Exercises covering a broad range of AI techniques and programming challenges.
- Programming & Implementation:
- Coding assignments (e.g., in C++ and Python) that demonstrate the application of AI algorithms.
- Modeling & Simulation:
- Techniques for modeling AI systems and simulating performance.
- Final Projects & Research:
- In-depth research and project work involving data analysis, model building, and system evaluation.
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BIG_DATA:
Contains assignments, research papers, and projects focusing on big data analytics, network anomaly detection, and related methodologies. -
FAI:
Contains assignments, programming projects, exam preparation materials, group reports, and research work related to artificial intelligence.
- Clone the Repository:
git clone https://github.com/naveenkarasu/Semster-4.git