1701 Open source projects that are alternatives of or similar to Cjworkbench

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

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Curated list of Python resources for data science.

Build a data visualization dashboard with simple snippets of python code

model-describer : Making machine learning interpretable to humans

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

Collection of useful data science topics along with code and articles

Quiz & Assignment of Coursera

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

Analyze Data with Pandas-based Networks. Documentation:

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

Java dataframe and visualization library

A template for data journalism in R

🛠 All-in-one web-based IDE specialized for machine learning and data science.

repo for code published on pythondata.com

Streamlit — The fastest way to build data apps in Python

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

Practical Data Science with Ruby based tools.

Stock for Deep Learning and Machine Learning

Resources for weekly Data Science Lunch & Learns

A visualisation tool for the creation and analysis of graphs

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

Actively curated list of awesome BI tools. PRs welcome!

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

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.

📖 每一个伟大的思想和行动都有一个微不足道的开始

📢 Ready to learn or review your knowledge!

A curated list of awesome scientific Python resources

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

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

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.

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

A Portfolio of my Data Science Projects

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

open source for wechat-official-account (ID: PyDataLab)

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

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

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

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

Visualizer for pandas data structures

football (soccer) datasets

Apache Superset is a Data Visualization and Data Exploration Platform

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

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

Machine learning fundamentals lesson in interactive notebooks

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

Applying Data Science and Machine Learning to Solve Real World Business Problems

YouTube Like Count Predictions using Machine Learning

📈📊📱💻🖥️An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的跨平台数据可视化图表框架,支持柱状图、条形图、…

📊https://datav.io is a modern APM, provide observability for your business, application and infrastructure. It's also a lightweight alternative to Grafana.

source{d} Community Edition (CE)

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

SF Brigade's Data Science Working Group.

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

数据可视化, 数据挖掘, 数据处理 ETL

Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

Turn Python scripts into handouts with Markdown and figures