scikit-learn: machine learning in Python
-
Updated
Jan 6, 2025 - Python
Statistics is a mathematical discipline concerned with developing and studying mathematical methods for collecting, analyzing, interpreting, and presenting large quantities of numerical data. Statistics is a highly interdisciplinary field of study with applications in fields such as physics, chemistry, life sciences, political science, and economics.
scikit-learn: machine learning in Python
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Statsmodels: statistical modeling and econometrics in Python
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
A Python based monitoring and tracking tool for Plex Media Server.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Better GitHub statistics images for your profile, with stats from private repos too
Visualize and compare datasets, target values and associations, with one line of code.
Statistical and Algorithmic Investing Strategies for Everyone
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
📊 The statistical analysis tool for git repositories
Survival analysis in Python
Statistical package in Python based on Pandas
High-quality implementations of standard and SOTA methods on a variety of tasks.
Multi-class confusion matrix library in Python
Computations and statistics on manifolds with geometric structures.