Stock market Prediction

  Introduction: In this blog, we'll be discussing a project that involves stock market price prediction. The project was created using Python programming language and various libraries such as Streamlit, Prophet, Plotly, and Ufinance. These libraries are used for visualization, time-series forecasting, and financial data retrieval. The aim of this project is to predict stock prices of various companies based on past data and to provide a user-friendly interface for users to interact with the model and visualize the predictions. Project Overview: The project consists of two main parts: data collection and model building. We used the Yahoo Finance API to retrieve historical stock data of various companies. We then used this data to train our time-series forecasting model using Prophet, a library specifically designed for forecasting time-series data. Finally, we created a web application using Streamlit, a Python library used for building interactive web applications. The web applica...