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We have created a stock market analysis app in which we took top companies stocks such as amazon, tesla, apple, microsoft and compared their past stock market exchanges with each other.Installed yfinance which updates us with the current status of stocks.Used regression and classification algorithms to predict the future of these companies.
This repository contains my Social Networks Projects during University and the projects that I've implemented due to my interest in Social Networks. These projects include analysis of social networks like telegram and graph mining with NetworkX and Gephi and investigating the effect of social data on the stock market.
I got an internship from Code Clause for the role of Data Science Intern. I had been allocated with 4 tasks, and this repository consists all of them. Hope its helpful if you need any. Thank you.
Our school had a stock market prediction challenge. I tried to get ahead by building NLP prediction engine and hacked something together in a few days.
⚡ STOCK MARKET PREDICTION is a Deep Learning based web application using LSTM model and that is used to predict the future stock prices based on 10 years historical data