AYAN SIDDIQUI's repositories
hacktoberfest
hacktoberfest contribution for amateurs !
hacktoberfest2022
PULL/MERGE REQUESTS
Nodejs-Website-Scraper-
Web scraper to store/scrap html, CSS, JS from website of your choice !
android-developer-roadmap
🗺 Android Developer Roadmap 2022 suggests learning paths to understanding Android development.
DSAProblemsHub
A Collection of Data Structures and Algorithms Problems Solved
foodewbpage
hacktoberfest, hacktoberfest-accepted ,hactoberfest2023
freqtrade
Free, open source crypto trading bot
github-profile-readme-maker
🏆 Best Profile Generator, Create your perfect GitHub Profile ReadMe in the best possible way. Lots of features and tools included, all for free ! 💫
Hacktoberfest-2.0
🛡️Hackit🛡️
Hacktoberfest-2023
Hacktoberfest 2023 Repository: Your Gateway to Open Source Welcome to the Hacktoberfest 2023 repository, where the world of open source coding awaits your contributions!
HACKTOBERFEST-2024
CONTRIBUTION CREATION NEW 101
Hacktoberfest2023
Make your first Pull Request on Hacktoberfest 2023. Don't forget to spread love and if you like give us a ⭐️
Hello-World-hacktoberfest2023
⭐ You can contribute to this Repository by creating programs to print "hello world" in different programming languages.⭐
Java-PP
Java Placement prep
Leetcode-Solutions
Problems solve on leetcode !
marketplace
🏛️ Decentraland's NFT Marketplace
python-fun
Some fun and useful projects with Python
QR-code-generator
This is a simple web code to generate QR code,powered by chart.apis.google
Stock-Analysis-App
Machine learning has significant applications in the stock price prediction. In this machine learning project, we will be talking about predicting the returns on stocks. This is a very complex task and has uncertainties.
Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis-1
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall