User:Sebastian: Difference between revisions
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KNN (K-nearest neighbors) | KNN (K-nearest neighbors) | ||
Revision as of 19:39, 10 March 2020
All existing pages here[1]
Red links:
- Data mining
- Evaluation metrics
- Artificial intelligence
- Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning, Density estimation, Market basket analysis)
- Classification
- Semi-supervised learning
- Reinforcement learning
- Machine learning applications
- Machine learning algorithms
- Simple regression (Simple linear regression, Simple non-linear regression)
- Multiple regression
- Ordinal regression
- Poisson regression
- Fast forest quantile regression
- Linear regression (expand)
- Polynomial regression
- Lasso regression
- Stepwise regression
- Ridge regression
- Bayesian linear regression
- Neural network regression
- Decision forest regression
- Regression model
- Boosted decision tree regression
- Python
- NumPy
- scikit-learn
- Pytorch
- SciPy
- matplotlib
- pandas
- Dataset
- TensorFlow
- Training accuracy
- Out-of-sample accuracy
- Procgen Benchmark
- Optimization
- Bit
- Byte
KNN (K-nearest neighbors)