• Stars
    star
    5
  • Rank 2,861,937 (Top 57 %)
  • Language
    Java
  • License
    MIT License
  • Created almost 3 years ago
  • Updated almost 3 years ago

Reviews

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

Repository Details

Introduction to JAVA and object oriented programming course in coursera by University of Pennsylvania

More Repositories

1

competitive-programming

Solutions to questions from different competitive coding websites like leetcode, hackerrank,geeksforgeeks, etc.
Java
3
star
2

Data-Analytics-with-Python-NPTEL

Jupyter Notebook
1
star
3

Coursera-ML-programmingassignments

MATLAB
1
star
4

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
5

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
6

Khushi-Mattu

CSS
1
star
7

OpenTable-frontend

This is a frontend UI using HTML, CSS of a restaurant company OpenTable
HTML
1
star
8

AC-react-native

JavaScript
1
star
9

NinjaFood

Website made with Tailwind CSS. Made this while learning Tailwind CSS. Tailwind is amazing!
CSS
1
star
10

Urban-Water-Quality-Predicition

Jupyter Notebook
1
star
11

Apparel-Website

This is a landing page concept for an apparel store.
CSS
1
star
12

Inventory_Management_Project_DBMS

Python
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