Model error quantification
When we train a machine-learning model, we almost always report some performance metric, such as accuracy, recall, or F1-score.
Recent Posts
Pandas: Pipe function
Pandas introduced pipe() starting from version 0.16.2. pipe() enables user-defined methods in method chains.
Sklearn: Tree diagram
The plot_tree() function allows you to create a diagram of steps present in a decision tree model:
Sklearn: Pipeline diagram
Estimators can be displayed with a HTML representation when shown in a jupyter notebook. This can be useful to diagnose or visualize a Pipeline with many ...
Sklearn: Column transformations
The Scikit-learn pipeline has a function called ColumnTransformer which allows you to easily specify which columns to apply the most appropriate preproces...