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
