1. Generation of Simulated Images
2. Microstructure Analysis: Comparison of Image Filters for Edge Detection
3. SHAP Analysis for Multiple Targets in Machine Learning
4. Classification of Microstructures using Convolutional Neural Network
5. How to Upload Image Folders in Google Colab
6. How to Calculate parameters in Convolutional Neural Network (CNN)
7. How to generate heatmaps to correlate materials properties
8. Assessing Evaluation Metrics for Regression Analysis with a Single Input Variable (Part I)
9. Assessing Evaluation Metrics for Regression Analysis with Multiple Input Variables (Part II)
10. How to Generate Hypothetical Dataset for Machine Learning
11. How to Apply Binary Logistic Regression Analysis for Prediction of Materials Properties
12. How to Apply Ordinal Logistic Regression Analysis for Prediction of Materials Properties
13. How to Read Confusion Matrix for Multi-Class Classification
14. How to Code 2-Point Spatial Correlations for Materials Microstructures