Deep Learning RNN & LSTM: Stock Price Prediction

By the end of this course, learners will be able to identify the foundations of deep learning, analyze stock price datasets, apply preprocessing and feature scaling techniques, develop an RNN with LSTM layers, and evaluate predictions using real-world financial data. This hands-on course takes learners through the complete journey of building a stock price forecasting model with Python. Starting with environment setup and dataset exploration, participants will learn how to preprocess data, perf

• Preprocess stock datasets with feature scaling and EDA.
• Build and train RNNs with LSTM layers for time-series data.
• Evaluate and visualize stock predictions using real datasets.