scikit-learn: machine learning in Python
Repository Index
47,133 repositories indexed
1–23 of 23 · Most stars
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Your new Mentor for Data Science E-Learning.
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.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Visualize and compare datasets, target values and associations, with one line of code.
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Open source time series library for Python
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.
Module for statistical learning, with a particular emphasis on time-dependent modelling
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
scPerturb: A resource and a python/R tool for single-cell perturbation data
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.