Description:

This course will teach you how to build a stock price prediction project using Long Short-Term Memory (LSTM) and Recurrent Neural Networks (RNN). You will learn how to utilize historical stock data to train your models and make accurate predictions for future stock prices.

Key Highlights:

• Build a stock price prediction model
• Utilize LSTM and RNN for forecasting
• Implement machine learning in finance
• Predict future stock prices

What you will learn:

• Understand LSTM and RNN
  Learn the fundamentals of Long Short-Term Memory (LSTM) and Recurrent Neural Networks (RNN) and how they can be applied to stock price prediction.
• Collect and preprocess data
  Discover methods to collect historical stock data and preprocess it for training your predictive models effectively.
• Build and train models
  Learn how to build and train LSTM and RNN models using stock data to make accurate predictions for future stock prices.
• Evaluate and optimize models
  Understand how to evaluate the performance of your models and optimize them for better stock price predictions.