7649 Open source projects that are alternatives of or similar to Spark R Notebooks

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

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

Introduction to Data Science

Support for jupyter notebook templates in jupyterlab

📖 每一个伟大的思想和行动都有一个微不足道的开始

Lending Club Loan data analysis

Completed assignments and coding challenges from the Lambda School Data Science program.

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

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

Griffon Data Science Virtual Machine

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.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

This repository provides everything you need to get started with Python for (social science) research.

A collection of Jupyter Notebooks for learning Python for Data Science.

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

A web frontend for scheduling Jupyter notebook reports

Enables the use of Stata together with Python via Jupyter (IPython) notebooks.

Python API for Intelligent Visual Data Discovery

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Big Data for Data Engineers Coursera Specialization from Yandex

Stock for Deep Learning and Machine Learning

Beaker Extensions for Jupyter Notebook

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

The power of Chart.js with Python

A site that displays up to date COVID-19 stats, powered by fastpages.

Support content for my blog

Curso de Data Science em Português

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

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

nbconflux converts Jupyter Notebooks to Atlassian Confluence pages

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

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.

Demo of PySpark and Jupyter Notebook with the Jupyter Docker Stacks

Python tools for data analysis

PyMC3 educational resources

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

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

A jupyter notebook that provides analysis for StarCraft 2 replays

Reproducible Data Science at Scale!

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.

The Go kernel for Jupyter notebooks and nteract.

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

Jupyter magics and kernels for working with remote Spark clusters

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Temporary home for fastai v2 while it's being developed

Association Rule Mining from Spatial Data for Crime Analysis

Python training for business analysts and traders

A collection of notebooks of my Machine Learning class written in python 3

Best Practices, code samples, and documentation for Computer Vision.

《python数据分析与挖掘实战》的代码笔记

Example projects, code, and documents for comparing Mathematica with R.

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Talks & Workshops by the CODAIT team

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.

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