Code Snippet Corner

Real-world examples of Python snippets used to solve complex data problems, primarily leveraging Pandas and related libraries.

Feature image for Being REALLY Lazy With Multiple Aggregations in Pandas

Being REALLY Lazy With Multiple Aggregations in Pandas

Perform multiple aggregate functions simultaneously with Pandas 0.25
Feature image for Splitting Columns With Pandas

Splitting Columns With Pandas

Split columns containing multiple values in your Pandas DataFrame into multiple columns, each containing a single value.
Feature image for Recasting Low-Cardinality Columns as Categoricals

Recasting Low-Cardinality Columns as Categoricals

Downcast strings in Pandas to their proper data-types using HDF5.
Feature image for Removing Duplicate Columns in Pandas

Removing Duplicate Columns in Pandas

Dealing with duplicate column names in your Pandas DataFrame.
Feature image for Using Random Forests for Feature Selection with Categorical Features

Using Random Forests for Feature Selection with Categorical Features

Python helper functions for adding feature importance, and displaying them as a single variable.
Feature image for Tuning Random Forests Hyperparameters with Binary Search Part III: min_samples_leaf

Tuning Random Forests Hyperparameters with Binary Search Part III: min_samples_leaf

Tune the min_samples_leaf parameter in for a Random Forests classifier in scikit-learn in Python .
Feature image for Tuning Random Forests Hyperparameters with Binary Search Part II: max_depth

Tuning Random Forests Hyperparameters with Binary Search Part II: max_depth

Tune the max_depth parameter in for a Random Forests classifier in scikit-learn in Python
Feature image for Tuning Machine Learning Hyperparameters with Binary Search

Tuning Machine Learning Hyperparameters with Binary Search

Tune the n_estimators parameter in for a Random Forests classifier in scikit-learn in Python.