machine-learning
Ctrlk
  • 機器學習:使用Python
  • 分類法 Classification
  • 特徵選擇 Feature Selection
  • 互分解 Cross Decomposition
  • 通用範例 General Examples
    • Ex 1: Plotting Cross-Validated Predictions
    • Ex 2: Concatenating multiple feature extraction methods
    • Ex 3: Isotonic Regression
    • Ex 4: Imputing missing values before building an estimator
    • Ex 5: ROC Curve with Visualization API
    • Ex 7: Face completion with a multi-output estimators
  • 群聚法 Clustering
  • 支持向量機
  • 機器學習資料集 Datasets
  • 應用範例 Application
  • 類神經網路 Neural_Networks
  • 決策樹 Decision_trees
  • 機器學習:使用 NVIDIA JetsonTX2
  • 廣義線性模型 Generalized Linear Models
  • 模型選擇 Model Selection
  • 半監督式分類法 Semi-Supervised Classification
  • Ensemble_methods
  • Miscellaneous_examples
  • Nearest_Neighbors
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通用範例 General Examples

Ex 1: Plotting Cross-Validated PredictionsEx 2: Concatenating multiple feature extraction methodsEx 3: Isotonic RegressionEx 4: Imputing missing values before building an estimatorEx 5: ROC Curve with Visualization APIEx 7: Face completion with a multi-output estimators
Previous互分解 Cross DecompositionNextEx 1: Plotting Cross-Validated Predictions

Last updated 6 years ago