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18csmp68

Lab Programs

18csmp68-part-b-programs-using-kotlin

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

cg-project

Rocket Launch using openGL

coding-interview-university

A complete computer science study plan to become a software engineer.

complete-placement-preparation

This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.

interview

Everything you need to prepare for your technical interview

javascript-algorithms

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

javascript-interview-questions

List of 1000 JavaScript Interview Questions

marksheet-generator-webapp

A very simple web application to generate the mark sheet. Automatically calculates the marks as well as the percentage from the marks provided by the user and generates and converts it into simple Pdf version.

paymentgatewayintegration

playground

Java Full Stack Program

rocket_launching

The Rocket Launching Simulation project is a 2D animation of a satellite launching process using OpenGL

searchengine

Search Engine using Vector Space Model, Cosine Similarity and TFIDF

searchengine-1

A Web SearchEngine implemented using Google's Page Rank model (but on a smaller scale). This engine would consist of a web Crawler/Spider which would start from a base URL to form a web graph. Cosine similarity would be used to find the relevant Pages and the final ranking will be done using Page Rank.

sf-task-3

sf-task-payment

This is a Simple Web Project to demonstrate the integration or embedding of the Payment gateway to the Website for Donating money.

simple-search-engine

A simple search engine that uses Cosine Similarity in the process of calculating similarity levels. Built using Python with Flask, Sastrawi library, and Bootstrap 4.

stock-price-prediction-time-series-lstm-model-keras-tensorflow

This is a model that has been trained on historical data obtained from Yahoo Finance. The data set comprises of all data records starting from the launch date of this stock in India (1996). This model aims to pick up key trends in the stock price fluctuations based on Time Series mapping. It is able to render predictions for the upcoming time period. The accuracy as obtained on the training data-set is about 90 percent and it successfully demonstrates key trends. It can be simulated on any stock in the market provided their historical data is made available. (One could use the yfinance API or download manually). Keras is used extensively along with Tensorflow for training. The model features 100 epochs of Base size 64. The training time depends on the hardware being used by the user. It is advisable to be performed on Google Colaboratory. For any issues/suggestions write to [email protected]

system-design-primer

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

tech-interview-handbook

💯 Materials to help you rock your next coding interview

url-shortener

A URL-Shortener created using Node-JS and synced with Firebase Database.