1180 Open source projects that are alternatives of or similar to Gun Violence Data

scikit-mobility: mobility analysis in Python

Statistical Machine Intelligence & Learning Engine

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 ;)

Visualize and compare datasets, target values and associations, with one line of code.

Lifetime value in Python

My Answer to 120 Data Science Interview Questions

R package of data and code behind the stories and interactives at FiveThirtyEight

Teaching Materials for Dr. Waleed A. Yousef

Create HTML profiling reports from pandas DataFrame objects

Multi-class confusion matrix library in Python

Curated list of Python resources for data science.

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Human-explainable AI.

📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.

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.

A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

Analyze facebook copy of your data with ruby language. Download zip file from facebook and get info about friends ranking by message, vocabulary, contacts, friends added statistics and more

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

A resource list for causality in statistics, data science and physics

Scripts + data to recreate analyses published on http://benjaminlmoore.wordpress.com and http://blm.io

I will update this repository to learn Machine learning with python with statistics content and materials

A Julia machine learning framework

Machine Learning in R

eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.

Free Resources For Data Science created by Shubham Kumar

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Java dataframe and visualization library

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

High-quality implementations of standard and SOTA methods on a variety of tasks.

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

Probabilistic reasoning and statistical analysis in TensorFlow

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

R Weekly

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

A simple probabilistic programming language.

This is the companion curriculum to my guide to becoming a data scientist.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

Probably the best curated list of data science software in Python.

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

A Dynamic Web Toolbox for Interactive Data Processing, Analysis, and Visualization

Learn Julia the hard way!

USC urban data science course series with Python and Jupyter

Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

scikit-learn: machine learning in Python

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Measure and visualize machine learning model performance without the usual boilerplate.

R package to interface with OpenML

🍧 A repository that contains courses I have taken on DataCamp

Tools for loading standard data sets in machine learning

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.

Carefully curated resource links for data science in one place

A Python package for building Bayesian models with TensorFlow or PyTorch

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction