Introduction
In this project, you will learn how to integrate feature vectors from multiple pre-trained deep learning models and train a simple logistic regression model to make predictions on a test dataset.
🎯 Tasks
In this project, you will learn:
- How to load and merge feature vectors from different pre-trained models
- How to split the dataset into training and testing sets
- How to train a logistic regression model on the merged feature vectors
- How to make predictions on the test set and save the results to a CSV file
🏆 Achievements
After completing this project, you will be able to:
- Leverage pre-trained deep learning models and their learned features
- Combine feature vectors from multiple models to improve model performance
- Train a simple logistic regression model and evaluate its performance
- Make predictions on a test dataset and save the results to a CSV file
