148 Open source projects that are alternatives of or similar to loon

An interactive 3D web viewer of up to million points on one screen that represent data. Provides interaction for viewing high-dimensional data that has been previously embedded in 3D or 2D. Based on graphosaurus.js and three.js. For a Linux release of a complete embedding+visualization pipeline please visit https://github.com/sonjageorgievska/Em…

Always know what to expect from your data.

Single cell analysis in the browser

A machine learning approach to classify songs by mood.

Python API for Intelligent Visual Data Discovery

🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.

Graphic tool for the automated evolutionary design of composite models

data⎰describe: Pythonic EDA Accelerator for Data Science

Functionalities in Excel translated to Python

Code for PerCom Workshop paper title 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn

exploratory data analysis using random forests

Kernel Density Estimation in Python

Ways of doing Data Science Engineering and Machine Learning in R and Python

The Python implementation of JavaScript Library RoughViz to create interactive sketchy charts

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Tool for visual exploration of complex data.

Implementation of DenseNet model on Standford's MURA dataset using PyTorch

Benchmarking and Visualization Toolkit for Penalized Cox Models

Data Inspector is an open-source python library that brings 15++ types of different functions to make EDA, data cleaning easier.

Complete-Life-Cycle-of-a-Data-Science-Project

Glimma R package

Insurance fraud claims analysis project

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

Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐

The furniture R package contains table1 for publication-ready simple and stratified descriptive statistics, tableC for publication-ready correlation matrixes, and other tables #rstats

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.

Create HTML profiling reports from pandas DataFrame objects

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

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

DataPrep — The easiest way to prepare data in Python

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

Julia package for the Apache ECharts v4 visualization library

Preliminary Exploratory Visualisation of Data

🛠️ 📊 Tools for Exploring and Comparing Data Frames

A list of software and papers related to automatic and fast Exploratory Data Analysis

Visualizing Association Rules and Frequent Itemsets with R

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

A day to day plan for this challenge. Covers both theoritical and practical aspects

OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.

Tk interface module using tcltklib

📌 This repo. Contains Basic - Advance level Machine learning / business analysis Projects. 👨‍💻

HandySpark - bringing pandas-like capabilities to Spark dataframes

MetaOmGraph: a workbench for interactive exploratory data analysis of large expression datasets

📊 An R htmlwidget interface to the TauCharts javascript library

skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.

Beautiful visualizations of how language differs among document types.

ADENINE: A Data ExploratioN PipelINE

統計的仮説検定&信頼区間推定用スクリプトまとめ

Solution of the Titanic Kaggle competition

R package for exploratory data analysis

Librería para la evaluación de calidad de datos, e interacción con el portal de datos.gov.co

A Python package for hubness analysis and high-dimensional data mining

Impy is a Python3 library with features that help you in your computer vision tasks.

Analyse academic and non-academic information of students and predict grades

BBBike

C++ library for interoperability between C++ and TCL

A Bayesian model for compositional single-cell data analysis

Is there a relationship between popularity of a given technology on Stack Overflow (SO) and Hacker News (HN)? And a few words about causality