A list of open source projects with links to contribute or donate.

A list of semi to fully remote-friendly companies (jobs) in tech.

A list of companies that sponsor employees from other countries.

These are the best resources for System Design on the Internet

Moved to https://github.com/kuutsav/leetcode-compensation

Curated Collection of all Low level design Questions and implementation asked in major Tech companies , Get yourself prepared for the LLD round and ace the interview.

Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.

Problem statements on System Design and Software Architecture as part of Arpit's System Design Masterclass

This repository contains opportunities for you to apply to more than 400 product base companies(NOT JUST FAANGM) & good start-ups.

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel t…

In Video Caption Based Search System

Fuzzy and semantic search for captioned YouTube videos.

Predicting student marks using Bayesian Linear Regression

It uses machine learning models (Multinomial NB & SVM) to predict whether the email is spam or ligitimate on two corpus namely Ling-spam corpus and Euron-spam corpus.

An implementation of a Spam Filter in Python that uses the Naive Bayes Model to classify mails as spam or ham.

A general implementation of spring physics

Java project simulating the physics of HAWT wind turbines using Blade Element Momentum theory.

Code for email classification in TensorFlow.

A Small ML Project for detecting Spam in SMS

Comprehensive Python Cheatsheet

A quick reminder of all SQL queries and examples on how to use them.

This repository contains all the source code examples and the FAQ for our Android App Development Specialization for Coursera

A simple text-editor application.

Predicting student marks using Bayesian Linear Regression

all kinds of text classification models and more with deep learning