The mljar-supervised Python package (version 1.0.0) now supports fairness-aware training, enabling the measurement and mitigation of bias in sensitive features for binary classification, multiclass classification, and regression.
The article explores the competitive landscape of the US job market for Data Analysts, analyzing data from 15,963 job listings. A Jupyter Notebook is created to perform data analysis and visualization.
Jupyter Notebook is a popular open-source tool for development and exploration in a data world. It has evolved into four web applications: Classic Jupyter Notebook, Jupyter Lab, Jupyter RetroLab, and Jupyter Lite, each with unique features.
Matplotlib is a Python visualization package widely used in commercial and academic applications. This article demonstrates nine methods for customizing colors in Matplotlib plots, including predefined styles for aesthetically pleasing visuals.
Pandas, a popular data manipulation library. It offers three methods to obtain row counts from a DataFrame. The article explores these approaches.
Jupyter Notebooks use the .ipynb format, a JSON structure containing code, Markdown, and outputs. Converting to a Python script is useful for repository storage or creating standalone packages; three methods for export are explained.
Explore the pyTZ Python package, a implementation of the tz database, to list 594 available timezones. Learn how to access and utilize timezones beyond the tz database.
Discover how to save Matplotlib plots in Python using 14 different formats. This guide helps you save plots in various file types for Python scripts and Jupyter Notebooks.
Learn 2 methods to save and load machine learning models in scikit-learn. The first, using the pickle package, is faster but takes more storage. The second, employing joblib, conserves disk space but is slower.
Convert your Jupyter Notebook presentation to an interactive presentation using the nbconvert tool and Reveal.js library.