Learn to predict stock prices using deep learning techniques in this comprehensive tutorial. Explore time series forecasting, Artificial Neural Networks (ANN), and Recurrent Neural Networks (RNN) through a practical case study. Dive into traditional forecasting models, sequence data analysis, backpropagation, and Long Short-Term Memory (LSTM) networks. Gain hands-on experience with data analysis, including date-specific insights, and discover how to implement these advanced techniques for accurate stock price predictions.

Syllabus

Introduction
Agenda
Patterns
Traditional Forecasting Models
Neural Network
Sequence Data
Recurrent Neural Network
Back Propagation
Long Short Term Memory
Too Many Plots
Data Analysis
Date Analysis