# Image Gallery

This previous image gallery have been removed to avoid duplication and to keep the file size of this GitHub repository slim, since the high-res version of these images are now embedded in the Jupyter notebooks themselves in the [code](../../code/) directory. 

Below are the links to the respective images by chapter:

- [ch01](../../code/ch01/images) - Machine Learning - Giving Computers the Ability to Learn from Data
- [ch02](../../code/ch02/images) - Training Machine Learning Algorithms for Classification
- [ch03](../../code/ch03/images) - A Tour of Machine Learning Classifiers Using Scikit-Learn
- [ch04](../../code/ch04/images) - Building Good Training Sets - Data Pre-Processing
- [ch05](../../code/ch05/images) - Compressing Data via Dimensionality Reduction
- [ch06](../../code/ch06/images) - Learning Best Practices for Model Evaluation and Hyperparameter Optimization
- [ch07](../../code/ch07/images) - Combining Different Models for Ensemble Learning
- [ch08](../../code/ch08/images) - Applying Machine Learning to Sentiment Analysis
- [ch09](../../code/ch09/images) - Embedding a Machine Learning Model into a Web Application
- [ch10](../../code/ch10/images) - Predicting Continuous Target Variables with Regression Analysis
- [ch11](../../code/ch11/images) - Working with Unlabeled Data – Clustering Analysis
- [ch12](../../code/ch12/images) - Training Artificial Neural Networks for Image Recognition
- [ch13](../../code/ch13/images) - Parallelizing Neural Network Training via Theano