Dhruv Shantu Karmokar's repositories
Basic-Electrical-Engineering-Lab-Assignments
This repository contains assignments, code, and resources for the Basic Electrical Engineering Lab course. Dive into practical applications of fundamental electrical concepts through hands-on experiments, simulations, and analysis. Explore topics including circuit analysis, measurement techniques, and more.
bobbyg603
All about @bobbyg603!
College-codes
All the material that I could find from my college courses
Deep-Learning
Car Park
DigitalSystemDesign-Verilog
A central location for Verilog code files related to digital systems design.
Eye-Vision
Project for Eye Disease Prediction
karmokardhruv
Config files for my GitHub profile.
MATLAB-for-Calculus
This repository contains MATLAB scripts and resources designed to aid in understanding and applying calculus concepts. From basic operations to advanced topics like constrained optimization and numerical integration, these scripts provide a hands-on approach to visualizing and solving calculus problems using MATLAB.
Operating-Systems-Lab
A comprehensive collection of operating system lab solutions, featuring a wide range of algorithms and scenarios including memory management, scheduling algorithms, synchronization problems, and resource allocation. Perfect for students and educators looking for practical OS code examples in C.
os
OS files
ParkingSpot
An intelligent parking space detection system that utilizes computer vision and image processing to identify and classify parking spots. The system can determine parking occupancy status in real-time, providing a scalable and efficient solution for urban parking management.
Python-Lab
This repository contains Python lab files covering various programming concepts and exercises. From basic syntax to advanced topics like regular expressions and data structures, these Python scripts provide hands-on practice to enhance your programming skills.
R-Programming-for-Probability-and-Statistics
This repository contains R programming scripts for practical applications of probability and statistics concepts. From data analysis and regression to hypothesis testing and visualization, these scripts provide hands-on exercises to deepen your understanding of probability and statistics using the R programming language.