m-a-y-a-n-k Goto Github PK

algolens

A project for visualising Data structures and Algorithms

bloodconnect

A Content Management System for a website developed using PHP and MySQL database server.

bootstrap

Practicing various bootstrap styles and components in HTML following version 4 latest update

budgetapp

Javascript Budget Expense Tracker

burger-builder-udemy-react

Order burger by making it online from ingridients you chose.

coolandroidme

The Coolest version of Android ME app on Udacity Coursework

covidplot

Plot of Coronavirus with world wide data of corona on a map rendered

impression

Let's help you sound more impressive

learn-html

Learn HTML by examples taken from W3Schools

learn-java

Learn JAVA via programming tutorials

leetcode-solutions

Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub)

linkedin-skill-assessments-quizzes

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 lösungen, linkedin machine learning test LinkedIn test questions and answers

m-a-y-a-n-k

Config files for my GitHub profile.

macpresenter

A desktop presenter for mac os made with love using electron

mern-exercise-tracker-mongodb

MERN exercise tracker - code for tutorial

my-python-projects

Code snippets for set of python project built for learning python programming language

my-spoj-solutions

List of spoj problems i have solved by studying various data structures and algorithms

nodejscc

Node JS Crash Course

patchwork

All the Git-it Workshop completers!

pickure

Decide your favorite thing to do be it Dinner , Sports , Music , anything when your mood kicks in

remind

scientific-calculator

A scientific calculator project

smart-home

Smart Home IoT server

sumitup

udemy-react-guide

Learning React through tutorials and fun projects

weather-prediction-using-neural-networks

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...