Khushi-Mattu/Inventory_Management_Project_DBMS Khushi-Mattu/Inventory_Management_Project_DBMS

  • Stars
    star
    1
  • Language
    Python
  • Created over 3 years ago
  • Updated over 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
Khushi-Mattu/Inventory_Management_Project_DBMS
github

Khushi-Mattu

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

Intro-to-JAVA-and-OOP-coursera

Introduction to JAVA and object oriented programming course in coursera by University of Pennsylvania
Java
5
star
2

competitive-programming

Solutions to questions from different competitive coding websites like leetcode, hackerrank,geeksforgeeks, etc.
Java
3
star
3

Data-Analytics-with-Python-NPTEL

Jupyter Notebook
1
star
4

Coursera-ML-programmingassignments

MATLAB
1
star
5

Selenium-web-driver

This is my interpretation of what I have learnt after watching the tutorial series and documentation of selenium whose links I have added in the bibliography.
PowerShell
1
star
6

Introduction-to-TensorFlow-for-Artificial-Intelligence-Machine-Learning-and-Deep-Learning

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning course by DeepLearning.AI on coursera
Jupyter Notebook
1
star
7

Khushi-Mattu

CSS
1
star
8

OpenTable-frontend

This is a frontend UI using HTML, CSS of a restaurant company OpenTable
HTML
1
star
9

AC-react-native

JavaScript
1
star
10

NinjaFood

Website made with Tailwind CSS. Made this while learning Tailwind CSS. Tailwind is amazing!
CSS
1
star
11

Urban-Water-Quality-Predicition

Jupyter Notebook
1
star
12

Apparel-Website

This is a landing page concept for an apparel store.
CSS
1
star
13

Restaurant_Management_System

CSS
1
star
14

PGLife-Internshala

PHP
1
star
15

Algorithm_Toolbox_Coursera

This is the Algorithm Toolbox course by San Diego University
C++
1
star
16

Library-Management-System-SE

Library management system is to provide an easy system to issue a book from the library if it is available or he/she can even use e-book.
CSS
1
star
17

Grades-Teachnook-ML-Project

EDA(Exploratory Data Analysis) on grades dataset and applied Random Forest Classifier and Regressor and SVM and calculated the accuracy of the models.
Jupyter Notebook
1
star