Pinned Repositories
cms
e-commerce website with inventory management system for retailers
commonKitchen
Online Food delivery system
dbs-project
Deep-Learning-Workshop
The repository contains python codes, which I have developed as the facilitator of the two consecutive Deep Learning Workshops (I and II) for the master's students of computer science, University of Windsor.
Ecommerce
Ecommerce website in Laravel
EightQueensAndPuzzle
Generate a large number of 8-puzzle and 8-queens instances and solve them by hill climbing (steepest-ascent and first-choice variants), hill climbing with random restart, and simulated annealing. Measure the search cost and percentage of solved problems and graph these against the optimal solution cost.
ElevateInterior
First-app
Greenify-Garden
Garden application for daily updates to user as well as gardner
ipywidgets
Interactive Widgets for the Jupyter Notebook
darshil179's Repositories
darshil179/First-app
darshil179/Ecommerce
Ecommerce website in Laravel
darshil179/WayPay-Inc-test
Coding Assignment: Refactor and Optimize Laravel Code
darshil179/ElevateInterior
darshil179/Greenify-Garden
Garden application for daily updates to user as well as gardner
darshil179/cms
e-commerce website with inventory management system for retailers
darshil179/commonKitchen
Online Food delivery system
darshil179/ipywidgets
Interactive Widgets for the Jupyter Notebook
darshil179/Workshop_ML-and-DL-using-SaaS
darshil179/Q4_Technical_Test
Q4_Technical_Test
darshil179/project
ASP project
darshil179/req56project
darshil179/dbs-project
darshil179/Undergrad-CompSci-Calendar
Undergrad CompSci Calendar
darshil179/Deep-Learning-Workshop
The repository contains python codes, which I have developed as the facilitator of the two consecutive Deep Learning Workshops (I and II) for the master's students of computer science, University of Windsor.
darshil179/EightQueensAndPuzzle
Generate a large number of 8-puzzle and 8-queens instances and solve them by hill climbing (steepest-ascent and first-choice variants), hill climbing with random restart, and simulated annealing. Measure the search cost and percentage of solved problems and graph these against the optimal solution cost.