1517 Open source projects that are alternatives of or similar to Datumbox Framework

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

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

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

Koalas: pandas API on Apache Spark

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

R Weekly

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

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

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Reproducible Data Science at Scale!

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Free Resources For Data Science created by Shubham Kumar

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R package for statistical tools with big matrices stored on disk.

scikit-mobility: mobility analysis in Python

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

A simple probabilistic programming language.

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

A Julia machine learning framework

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 ;)

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.

Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository

Learn Julia the hard way!

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

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.

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

Curated list of Python resources for data science.

Javascript full-stack framework for Big Data visualisation and analysis

Robust, distributed version control for large files.

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

Human-explainable AI.

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

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

Probabilistic reasoning and statistical analysis in TensorFlow

My Answer to 120 Data Science Interview Questions

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

📚 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.

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

Teaching Materials for Dr. Waleed A. Yousef

Tools for loading standard data sets in machine learning

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

Single-pass algorithms for statistics

Workflows and interfaces for neuroimaging packages

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

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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

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

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Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

Quiz & Assignment of Coursera

Support content for my blog

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]