Mayank Narula's Projects
A project for visualising Data structures and Algorithms
A Content Management System for a website developed using PHP and MySQL database server.
Practicing various bootstrap styles and components in HTML following version 4 latest update
Javascript Budget Expense Tracker
Order burger by making it online from ingridients you chose.
The Coolest version of Android ME app on Udacity Coursework
Let's help you sound more impressive
Learn HTML by examples taken from W3Schools
Learn JAVA via programming tutorials
Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub)
Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lรถsungen, linkedin machine learning test LinkedIn test questions and answers
Config files for my GitHub profile.
A desktop presenter for mac os made with love using electron
MERN exercise tracker - code for tutorial
Code snippets for set of python project built for learning python programming language
List of spoj problems i have solved by studying various data structures and algorithms
Node JS Crash Course
All the Git-it Workshop completers!
Smart Home IoT server
Learning React through tutorials and fun projects
Machine Learning Project for classifying Weather into ThunderStorm (0001) , Rainy(0010) , Foggy (0100) , Sunny(1000) and also predict weather features for next one year after training on 20 years data on a neural network This is my first Machine Learning Project. Steps To run the project: Extract the files into a single directory ( say "MyWeatherProject" ) Open Octave(GUI) and go to the above directory Type the following in the COMMAND WINDOW : "YearlyForecast();" (without double quotes) Open the files "PredictionWeather1997.txt" to "PredictionWeather2016.txt" and compare with actual results from "Weather1997.txt" to "Weather2015.txt". Curves are plotted to compare predictions with actual weather conditions and they will be saved in the same directory...