Visualizing and Forecasting Stocks Using Machine Learning

Abstract

Predicting stock prices in the market is a challenging task due to the absence of clear-cut rules, yet it offers the potential for high returns. Despite their inherent volatility, investors can analyze share prices and various statistical factors to make informed decisions on where to invest their earnings. A compelling project idea involves utilizing the Dash library in Python to create dynamic plots of financial data for a specific company, using tabular data provided by the yfinance Python library. Additionally, incorporating machine learning algorithms enhances the project by enabling the prediction of future stock prices. This project serves as an excellent introduction for Python and data science beginners, while also providing a valuable refresher for professionals with prior experience in Python and machine learning.