1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.

A Data Analysis Board in Vue.

PySpark-Tutorial provides basic algorithms using PySpark

vineyard (v6d): an in-memory immutable data manager. (Project under CNCF, TAG-Storage)

可视化大屏解决方案, 提供一套可视化编辑引擎, 助力个人或企业轻松定制自己的可视化大屏应用.

Powerful & Easy way for big data discovery

A multi-cloud framework for big data analytics and embarrassingly parallel jobs, that provides an universal API for building parallel applications in the cloud ☁️🚀

A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.

Use CH-UI to work with your data from Click House self-hosted with a user-friendly interface. CH-UI is a modern and feature-rich user interface for ClickHouse databases. It offers an intuitive platform for querying ClickHouse databases, executing queries, and visualizing metrics about your instance.

Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.

The Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.

Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.

This is about learning courses in Coursera. All the answers given written by myself

I have built the computer vision models in 3 different ways addressing different personas, because not all companies will have a resolute data science team. quality-control manufacturing big-data-analytics jupyter-notebook cognitive services industry solutions

Bucketize an image based on exhaust data and AI generated data. industry-solutions azure azure machine learning services computer-vision big data big data analytics machine learning image recognition manufacturing quality control cognitive services

The Pandata scalable open-source analysis stack

Course covers big data fundamentals, processes, technologies, platform ecosystem, and management for practical application development.

Big data projects implemented by Maniram yadav

Egis - a handy Ruby interface for AWS Athena