Vikas Magar's starred repositories
algorithm-visualizer
this project is made to visualize different algorithms likes sorting, pixel sorting, graph traversal,recursion
full-stack-interview-questions
🔴 More than ~3877 Full Stack, Coding & System Design Interview Questions And Answers sourced from all around the Internet to help you to prepare to an interview, conduct one, mock your lead dev or completely ignore. Find more questions and answers on 👉
RemoteCodeCompiler
An online code compiler supporting 11 programming languages (Java, Kotlin, Scala, C, C++, C#, Golang, Python, Ruby, Rust and Haskell) for competitive programming and coding interviews.
javascript-code-challenges
A collection of JavaScript modern interview code challenges for beginners to experts
Character-Device
A kernel level pipe, as a miscellaneous character device, to exchange strings between user level processes. This is a classical producer consumer problem. The device maintains a FIFO queue that can contain a configurable number of strings. Several concurrent user level processes can read and write to the character device.
Operating-Systems-CS550
My Classwork solutions for Operating Systems (CS550) - Spring 2017
algorithm-illustrations
The illustrations from the YouTube channel: happygirlzt.
Data-Mining
Performed Time Series Data Trend prediction using ARIMA model
tsPrediction
Time series prediction system in R (RStudio) for given real-time e-commerce dataset of thousands of products, customers, and categories with the help of data mining algorithms (ARIMA, Holt Winter, STL, ETS).
Data-Mining
Performed Time Series Data Trend prediction using ARIMA model
Algorithms-by-S.Dasgupta
Attempts to solve exercises and implementation of algorithms from Algorithms by S.Dasgupta et al.
Sales-Data-Prediction-system
The specific problem in this project is about the time-series data trend prediction. The specific application scenario is in e-commerce. You are given a real dataset obtained from a real-world e-commerce application where there were 1000 products and 31490 customers (i.e., buyers) who bought these products. Of these 1000 products there are 100 key products (popular products). Also these 1000 products are in 15 categories. The specific data are given in the seven tables and the specific details of these tables are given below. The time window of this dataset is in 118 days with data documentation for each day. Hence, the time unit is one day where the timeline goes from the 0-th day to the 117-th day (17 weeks less one day in total). Now you are asked to do the sale quantity prediction for the 100 key products for each day between the 118-th day and the 146-th day (29 days).
Sales-time-series-prediction
Time series prediction system in R (RStudio) for given real-time e-commerce dataset of thousands of products, customers, and categories with the help of data mining algorithms (ARIMA, Holt Winter, STL, ETS).
Time-series
Trend Prediction
Time-Series-Analysis-Python
Predict the sales of e-commerce products from given training data set
time-series-data-trend-prediction
Time series and data trend prediction of key products sale for given e-commerce data
javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
MERN-boilerplate
MERN stack project boilerplate
reactjs-interview-questions
List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!
frontend-portfolio
My Portfolio Page
phenomenon
⚡️ A fast 2kB low-level WebGL API.
wavesurfer.js
Audio waveform player
web-audio-editor
HTML5 based audio editor.
Custom-Context-Menu
Code and test application for creating a custom context menu.