Top 1642 data-science open source projects

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

Teaching materials in python at the @ENSAE

🍧 A repository that contains courses I have taken on DataCamp

Actively curated list of awesome BI tools. PRs welcome!

ETL with Python - Taught at DWH course 2017 (TAU)

👨🏽‍🏫You can learn about anything over here. What Giveaways I do and why it's important in today's modern world. Are you interested in Giveaway's?🔋

A visualisation tool for the creation and analysis of graphs

Statistical data visualization in Python

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

Word2Vec models with Twitter data using Spark. Blog:

A Python package for gender classification.

Wrap existing D code for use in Python, Excel, C#

Practice your skills with these ideas.

Parser and database to index the terpene profile of different strains of Cannabis from online databases

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

An open-source platform for automating tasks using machine learning models

🎓 Jupyter notebooks from UFC data science course

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

Carefully curated resource links for data science in one place

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

VerticaPy is a Python library that exposes sci-kit like functionality to conduct data science projects on data stored in Vertica, thus taking advantage Vertica’s speed and built-in analytics and machine learning capabilities.

dataCompareR is an R package that allows users to compare two datasets and view a report on the similarities and differences.

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

⛈️ Rumble 1.11.0 "Banyan Tree"🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more

A collection of personal data science projects

Example workflows for the drake R package

Python Data Science and Machine Learning Library for the Ethereum and ERC-20 Blockchain

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Lifetime value in Python

MRI analysis using PyTorch and MedicalTorch

Multi-class confusion matrix library in Python

When Apache Pulsar meets Apache Spark

Javascript implementation of Zarr

The data and code that used in my book.

The Universal Storage Engine

Unofficial implementation of the paper "Bag of Tricks for Efficient Text Classification" by Joulin et al.

A workshop on data privacy methods for data scientists.

I will update this repository to learn Machine learning with python with statistics content and materials

Template for getting started with automated ML Ops on Azure Machine Learning

USC urban data science course series with Python and Jupyter

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

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

PHP-ML - Machine Learning library for PHP

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

A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

Talks & Workshops by the CODAIT team

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

Resources for weekly Data Science Lunch & Learns

A Python library that helps data scientists to infer causation rather than observing correlation.

《python数据分析与挖掘实战》的代码笔记

Some useful Tips and Tricks to speed up the data analysis process in Python.

ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Easily install and load packages from the tidyverse

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

Pacote R para acessar dados do congresso nacional.