Stock Price Prediction with Prophet: A Streamlit Web App

Introduction

In the world of finance and investment, predicting stock prices accurately is a constant challenge. However, advancements in data science and machine learning have paved the way for innovative solutions.

In this project, we explore the power of Meta's Prophet time series forecasting model to predict stock prices with remarkable precision. What makes this project even more exciting is that we will deploy the model and create an interactive web application using Streamlit, making our stock predictions easily accessible and understandable for investors and enthusiasts alike.

2 - Programming Language and Libraries 

• Python 

• Meta's Prophet library

• Streamlit

• yfinance

• plotly library

To check the web app click here