1486 Open source projects that are alternatives of or similar to Xlearn

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

A Julia machine learning framework

simple tools for data cleaning in R

Open Source Feature Flagging and A/B Testing Platform

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

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

Resources for weekly Data Science Lunch & Learns

The Universal Storage Engine

《python数据分析与挖掘实战》的代码笔记

OpenRefine is a free, open source power tool for working with messy data and improving it

Lifetime value in Python

model-describer : Making machine learning interpretable to humans

Collection of stats, modeling, and data science tools in Python and R.

Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.

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

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

Machine learning fundamentals lesson in interactive notebooks

Aulas da Escola de Inteligência Artificial de São Paulo

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

R package to interface with OpenML

Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.

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

Apache Superset is a Data Visualization and Data Exploration Platform

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

Data analysis library for JavaScript built with Ramda

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

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

A Python library for easy data analysis, visualization, exploration and modeling

Jupyter notebook and datasets from the pandas Q&A video series

A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.

Interface to use R from Python

Build a data visualization dashboard with simple snippets of python code

IPython widgets, interactive plots, interactive machine learning

General Assembly's 2015 Data Science course in Washington, DC

A Portfolio of my Data Science Projects

An easy-to-use interface for measuring uncertainty and robustness.

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

A repo for data science related questions and answers

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

Airbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.

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.

📖 每一个伟大的思想和行动都有一个微不足道的开始

A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

Streamlit — The fastest way to build data apps in Python

Easy to use Python library of customized functions for cleaning and analyzing data.

Tools for loading standard data sets in machine learning

Create UIs for your machine learning model in Python in 3 minutes

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

A desktop application for viewing and analyzing tabular data

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

Analyze Data with Pandas-based Networks. Documentation:

a delightful machine learning tool that allows you to train, test, and use models without writing code

Stock for Deep Learning and Machine Learning

Python tools for data analysis

football (soccer) datasets

Machine Learning in R

Visualizer for pandas data structures