Discover @Khushi-Mattu Open Source projects

Khushi Mattu (@Khushi-Mattu)

Khushi-Mattu

Stars
29
Global Rank 505,517 (Top 18 %)
Followers 43
Following 55
Registered over 3 years ago
Most used languages

CSS
27.8 %

Jupyter Notebook
22.2 %

Java
11.1 %

JavaScript
5.6 %

HTML
5.6 %

MATLAB
5.6 %

PHP
5.6 %

Python
5.6 %

PowerShell
5.6 %

C++
5.6 %
Location 🇮🇳 India
Country Total Rank 20,078
Country Ranking

PowerShell
242

MATLAB
1,475

CSS
2,456

Java
4,610

Jupyter Notebook
8,627

PHP
8,909

Intro-to-JAVA-and-OOP-coursera

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

competitive-programming

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

Data-Analytics-with-Python-NPTEL

Jupyter Notebook

Coursera-ML-programmingassignments

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.

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

Khushi-Mattu

OpenTable-frontend

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

AC-react-native

NinjaFood

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

Urban-Water-Quality-Predicition

Jupyter Notebook

Apparel-Website

This is a landing page concept for an apparel store.

Inventory_Management_Project_DBMS

Restaurant_Management_System

PGLife-Internshala

Algorithm_Toolbox_Coursera

This is the Algorithm Toolbox course by San Diego University

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.

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