doddle-model examples

This repository contains code examples for the doddle-model machine learning library.

Table of Contents

1. Feature Preprocessing

• Standard Scaler
• Range Scaler
• Binarizer
• Normalizer
• One-Hot Encoder
• Mean Value Imputation
• Most Frequent Value Imputation

2. Metrics

• Classification Metrics
• Regression Metrics
• Ranking Metrics
• ROC curve visualization

3. Baseline models

• Most Frequent Classifier
• Stratified Classifier
• Uniform Classifier
• Mean Regressor
• Median Regressor

4. Linear models

• Linear Regression
• Logistic Regression
• Softmax Classifier
• Poisson Regression

5. Model Selection

• K-Fold Cross-Validation
• Group K-Fold Cross-Validation
• Grid Search
• Random Search

6. Miscellaneous

• Reading Data
• Shuffling Data
• Splitting Data
• Feature Preprocessing Pipeline
• Estimator Persistence

7. Use Cases

• Kaggle House Prices