scikit-learn: machine learning in Python
-
Updated
Aug 1, 2020 - Python
scikit-learn: machine learning in Python
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.
Create HTML profiling reports from pandas DataFrame objects
Statsmodels: statistical modeling and econometrics in Python
Statistical Machine Intelligence & Learning Engine
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
▁▅▆▃▅ Git quick statistics is a simple and efficient way to access various statistics in git repository.
Machine learning, computer vision, statistics and general scientific computing for .NET
A Python based monitoring and tracking tool for Plex Media Server.
Probabilistic reasoning and statistical analysis in TensorFlow
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.
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
simple statistics for node & browser javascript
Curated list of Python resources for data science.
Java dataframe and visualization library
Math.NET Numerics
A Laravel package to retrieve pageviews and other data from Google Analytics
中国的Quant相关资源索引
A well tested and comprehensive Golang statistics library package with no dependencies.
Add a description, image, and links to the statistics topic page so that developers can more easily learn about it.
To associate your repository with the statistics topic, visit your repo's landing page and select "manage topics."