Predicting Stock Market Trends with Transfer Learning: A Deep Learning Approach

Welcome to this tutorial on applying transfer learning for stock market prediction using pre-trained deep learning models. In this tutorial, we will explore how transfer learning can be leveraged to build powerful predictive models for the stock market. We will use pre-trained deep learning models and fine-tune them on financial data to make accurate predictions about future stock market trends.

Photo by Pakata Goh on Unsplash

By the end of this tutorial, you will have a comprehensive understanding of transfer learning, deep learning, and how to apply these concepts to predict stock market trends. We will cover the following topics:

1. Introduction to Transfer Learning
2. Getting Financial Data with yfinance
3. Preprocessing Financial Data
4. Building a Transfer Learning Model
5. Fine-tuning the Model
6. Evaluating the Model
7. Making Predictions

1. Introduction to Transfer Learning

Transfer learning is a technique in deep learning where a model trained on one task is re-purposed for another related task. Instead of training a model from scratch, we can leverage the knowledge learned by the pre-trained model on…