Stock Market Analysis and Prediction
Self-Paced Projects
Fee: ₹499
Stock Market Analysis and Prediction is a project that aims to develop a system that can analyze historical stock market data and predict future market trends using machine learning algorithms. The system will provide insights into the stock market that can aid investors in making informed decisions about buying and selling stocks.
Objectives
The stock market is a complex and dynamic system that can be difficult to understand and predict. This project will involve developing a system that can analyze historical stock market data and make predictions about future market trends using machine learning algorithms. The system will provide a user-friendly interface for investors to view stock market trends and predictions.
To design and develop a system that can analyze historical stock market data.
To implement machine learning algorithms for stock market prediction.
To provide a user-friendly interface for investors to view stock market trends and predictions.
What Will You Learn
Throughout the development of this project, you will learn about data pre-processing and cleaning, machine learning algorithms for regression and classification, data visualization using Python libraries such as Matplotlib and Seaborn, model evaluation and selection, time series analysis, and project management and documentation.
Curriculum
Other Details
Stock Market Analysis and Prediction
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