statistical learning - supervised_learning of sklearn
委託
拳擊陪練
地圖位置：
你需要潛入或闖入這裡的營地，找到損壞的機器人。
找到房間裡的電腦，檢視資訊，升級劇情。
在廢舊的院子裡就會刷出一輛麵包車。
從車後面找到廢舊機器人，拔出分離晶片。
最後將晶片放入交貨點，完成這條支線。
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statistical learning - supervised_learning of sklearn
統計學習 https://scikit-learn.org/stable/tutorial/statistical_inference/index.html 資料量不停增加，增加了機器學習的重要性。
statistical learning -- Unsupervised learning of sklearn
Unsupervised learning https://scikit-learn.org/stable/tutorial/statistical_inference/unsupervised_learning.html
Manifold learning of sklearn
Manifold learning https://scikit-learn.org/stable/modules/manifold.html#locally-linear-embedding 流形學習是一種非線性降維方法，演算法是基於一種想法，很多資料集的高緯度是人為製造的高，並不是真的高。
datasets of sklearn
datasets sklearn提供了一些內建的小的玩具資料。 也可以載入外部的一些資料。
Confusion Matrix of sklearn
Confusion Matrix https://machinelearningmastery.com/confusion-matrix-machine-learning/ 混淆矩陣是一種總結分類演算法效能的技術。
Classification report of sklearn
Classification report The classification_report function builds a text report showing the main classification metrics. Here is a small example with custom target_names and inferred labels:
Transforming the prediction target of sklearn
concept https://scikit-learn.org/stable/modules/preprocessing_targets.html#preprocessing-targets 對於監督性學習，其目標值需要進行轉化，才能作為模型的目標，或者更加有效地適應模型。
multilabel of sklearn
multilabel https://scikit-learn.org/stable/modules/multiclass.html#multilabel-classification 多標記， 對於一個樣本資料， 多個可能的標籤。
Multiclass and multioutput overview of sklearn
Multiclass and multioutput algorithms https://scikit-learn.org/stable/modules/multiclass.html# sklearn 支援如下典型型別學習
statistical learning -- Model selection
Model selection https://scikit-learn.org/stable/tutorial/statistical_inference/model_selection.html#score-and-cross-validated-scores
Visualizing the stock market structure of sklearn
Visualizing the stock market structure https://scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html#stock-market
Column Transformer with Mixed Types -- of sklearn
Column Transformer with Mixed Types https://scikit-learn.org/stable/auto_examples/compose/plot_column_transformer_mixed_types.html#sphx-glr-auto-examples-compose-plot-column-transformer-mixed-types-py
Column Transformer with Heterogeneous Data Sources -- of sklearn
Column Transformer with Heterogeneous Data Sources https://scikit-learn.org/stable/auto_examples/compose/plot_column_transformer.html#sphx-glr-auto-examples-compose-plot-column-transformer-py
Feature extraction of sklearn
Feature extraction https://scikit-learn.org/stable/modules/feature_extraction.html 從文字或圖片的資料集中提取出機器學習支援的資料格式。
Sample pipeline for text feature extraction and evaluation of sklearn
Sample pipeline for text feature extraction and evaluation https://scikit-learn.org/stable/auto_examples/model_selection/grid_search_text_feature_extraction.html#sphx-glr-auto-examples-model-selection
Clustering text documents using k-means of sklearn
Clustering text documents using k-means https://scikit-learn.org/stable/auto_examples/text/plot_document_clustering.html#sphx-glr-auto-examples-text-plot-document-clustering-py
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