Being REALLY Lazy With Multiple Aggregations in Pandas Perform multiple aggregate functions simultaneously with Pandas 0.25
Splitting Columns With Pandas Split columns containing multiple values in your Pandas DataFrame into multiple columns, each containing a single value.
Recasting Low-Cardinality Columns as Categoricals Downcast strings in Pandas to their proper data-types using HDF5.
Using Random Forests for Feature Selection with Categorical Features Python helper functions for adding feature importance, and displaying them as a single variable.
Tuning Random Forests Hyperparameters: min_samples_leaf Tune the min_samples_leaf parameter in for a Random Forests classifier in scikit-learn in Python
Tuning Random Forests Hyperparameters: max_depth Tune the max_depth parameter in for a Random Forests classifier in scikit-learn in Python
