Welcome to the repository for the coursework of my MTech 1st semester at Amrita School Of Engineering, Bengaluru, India ! This repository contains a collection of materials for 5 courses, including lab exercises, assignments, notes, slides, reference books, and other useful resources.
The following courses are included in this repository:
- Machine Learning (21DS602)
- Statistics Modelling (21DS636)
- Data Structures & Algorithms (21DS603)
- Computational Linear Algebra (21MA602)
- Optimization Techniques for Data Science (21DS601)
Each course folder contains materials specific to that course, including:
- Lab Exercises: Practical exercises designed to reinforce your understanding of the course material.
- Assignments: Homework assignments that test your knowledge of the course concepts.
- Notes & Slides: Lecture notes and slides that provide a comprehensive overview of the course material.
- Reference Books: Recommended reading materials that provide additional context and depth on the course topics.
- Other Useful Resources: Additional resources, such as code snippets in python and jupyter notebook, that may be helpful in understanding the course material.
If you find an error in any of the materials or have suggestions for improvements, please feel free to open a pull request or issue. Contributions from the community are always welcome!
All materials in this repository are licensed under the MIT License. Feel free to use, modify, and distribute these materials for any non-commercial purpose.