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162 search results found
Awesome Datascience
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23,865
📝 An awesome Data Science repository to learn and apply for real world problems.
Pycaret
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8,130
An open-source, low-code machine learning library in Python
Knowledge Repo
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5,344
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
Datasciencepython
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4,776
common data analysis and machine learning tasks using python
Chartify
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3,436
Python library that makes it easy for data scientists to create charts.
Practical Statistics For Data Scientists
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2,279
Code repository for O'Reilly book
Datascience Pizza
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2,199
🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos
Explainerdashboard
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2,118
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Data Science Interview Resources
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1,926
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Covid19 Dashboard
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1,645
A site that displays up to date COVID-19 stats, powered by fastpages.
Statistics For Data Scientists
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851
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
Keras Idiomatic Programmer
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705
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Arena
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684
A CLI for Kubeflow.
Submarine
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675
Submarine is Cloud Native Machine Learning Platform.
Gmaps
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648
Google maps for Jupyter notebooks
Iwanthue
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617
Colors for data scientists.
Hackertab.dev
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524
A Chrome 🌐 & Firefox 🦊 extension to discover the latest developer news and tools in one tab!
Kale
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517
Kubeflow’s superfood for Data Scientists
Amazing Feature Engineering
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485
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.
Machinejs
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412
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
Interpret Text
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392
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
Explainx
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375
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @
[email protected]
Spatial Framework For Hadoop
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343
The Spatial Framework for Hadoop allows developers and data scientists to use the Hadoop data processing system for spatial data analysis.
Datmo
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322
Open source production model management tool for data scientists
Data Science
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269
Projects and awesome list for all Data Science fields
Deon
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265
A command line tool to easily add an ethics checklist to your data science projects.
Cartoframes
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242
CARTO Python package for data scientists
Data_science_blogs
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232
A repository to keep track of all the code that I end up writing for my blog posts.
Verticapy
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210
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.
Data Science Resources
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199
👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
Timeseries
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195
Timeseries for everyone
Studio
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174
Component based analytics studio on the web browser
Boostaroota
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139
A fast xgboost feature selection algorithm
Incubator Marvin
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101
Apache Marvin-AI
Aethos
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100
Automated Data Science and Machine Learning library to optimize workflow.
Data Testing Tutorial
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86
A short tutorial for data scientists on how to write tests for code + data.
Python For Data Scientists
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86
Deliverable: This Jupyter notebook will help aspiring data scientists learn and practice the necessary python code needed for many data science projects.
Oscon 2015
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81
Code for my OSCON 2015 talk
Genai Stack
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77
An End to End GenAI Framework
Data Docs
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76
A guide for Mozilla's developers and data scientists to analyze and interpret the data gathered by our data collection systems.
Createml Playgrounds
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75
Create ML playgrounds for building machine learning models. For developers and data scientists.
Trunklucator
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73
Python module for data scientists for quick creating annotation projects.
Forestflow
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68
ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.
Beneath
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64
Beneath is a serverless real-time data platform ⚡️
Free Artificial Intelligence Resources
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62
Welcome, to this Open Source Repository regarding FREE ARTIFICIAL INTELLIGENCE RESOURCE. Get Benefit from the free resources mention & kindly five STAR & FORK this so that it can get maximum Fame so that Everyone can take advantage.
Fuseml
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61
FuseML aims to provide an MLOps framework as the medium dynamically integrating together the AI/ML tools of your choice. It's an extensible tool built through collaboration, where Data Engineers and DevOps Engineers can come together and contribute with reusable integration code.
Steam
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58
DEPRECATED Build, manage and deploy H2O's high-speed machine learning models.
Streamlitdatavisualizationapp
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56
Web Dev For Data Scientists
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52
Docker Predictionio
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51
Docker container for PredictionIO-based machine learning services
Practice Sql With Sqlite And Jupyter Notebook
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47
Practice basic SQL syntax with Jupyter notebook. SQL is particularly useful in handling structured data where there are relations between different entities/variables of the data. SQL is a very important tool for data scientists to have in their repertoire.
Ascends
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46
Advanced data SCiEnce toolkit for Non-Data scientists
Spatial Dataviz For Data Scientists
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45
Spatial Data Visualization for Data Scientists
Olliepy
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41
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.
Introduction To Conda For Data Scientists
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35
Introduction to Conda for (Data) Scientists
Pdfr
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33
An R package to extract text from pdf.
Healthcare Analytics Made Simple
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31
Healthcare Analytics Made Simple, published by Packt
Deep Teaching
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31
This one day workshop introduces education best practices to programmers and data scientists.
Practical_statistics_for_data_scientists
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31
This repository has the Python equivalent code for the book Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Bruce and Andrew Bruce. This 1st edition book, by O'reilly Media, is a compact reference that explains 50 of the main concepts, that every aspiring Data Scientists should know.
Awesome Datascience Cheatsheets
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31
Collection of cheatsheets for data science, machine learning and deep learning :).
Uclaintrodatascience
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31
UCLA Extension Introduction to Data Science class materials
Ocean Academy
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30
Official repo of Ocean Academy
Bdr Analytics Py
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29
Common data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2.0
Data Scientist Latex Resume With Photo
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26
20 Seconds CV for data scientists written in LaTeX. It includes a photo in its sidebar.
Vegahub
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25
A SignalR Hub Utility for data scientists to push Vega charts from F# Interactive
Data Science
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25
The Hack For LA Data Science team is a Community of Practice within the LA brigade seeking to make analytical and machine learning services available to local communities and organizations.
Masterclass Hdf
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24
HDF masterclass materials
Thepersonalmsds
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23
The Personal MS(DS) is an initiative to customize the Data Science Masters roadmap according to one's interests hence providing complete autonomy to the learner. The intuition behind #thepersonalmsds is to upgrade skills without formally enrolling into a Master's program at a University
Optimalflow
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22
OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments(PCTE) and Selection-based Feature Preprocessor with Ensemble Encoding(SPEE), to help data scientists build optimal models, and automate supervised learning workflow with simpler coding.
Surround
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22
Surround is a framework for building AI driven microservices in Python, https://surround.readthedocs.io/en/latest/
Kennethleungty
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21
Data Science Portfolio
Pyaos.github.io
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20
PyAOS community website.
Monitoring Analytics
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20
R statistical computing and graphic tool for Zabbix monitoring metrics from data scientists
Csv Conf V3
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20
Pandas Tutorial
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19
An opinoinated pandas tutorial for data scientists
Datacamp Data Scientist With Python 2019 And 2020
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19
This is about learning data scientist with Python 2019 and some new updated courses in DataCamp. All the answers given written by myself
Graphql Ide
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19
IDE for GraphQL development
Mlflow Tracking Operator
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18
MLFlow Tracking Operator for Kubernetes and OpenShift
Data Science Study Materials
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18
"Big data is at the foundation of all the megatrends that are happening." – Chris Lynch
Prace Spark For Data Scientists
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17
Course materials for PRACE Introduction to Spark for Data Scientists.
Flask For Data Science
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16
example app for data scientists to get started with web development using python and flask
Clojure Datascience
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16
Source code for the clojure-datascience.herokuapp.com website
Dsbox
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16
Package made to simplify Data Scientist work, on ML and production part.
Design
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16
Architecture and UX design of KAML-D
Data Science Links
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15
A curated list of links to great data science articles, videos, ...
Dihub Python For Data Scientists 2015
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15
Presentation, notebooks and supporting files for Meetup "Python for Data Scientists", given at the European Data Innovation Hub in Brussels on Thu 17 Sep 2015.
Rstudioconf 2019
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15
Slides and content from my talk at RStudio::Conf 2019, "Data Science as a Team Sport"
Plotly Scientific Plots
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14
plotly-scientific-tools is meant to augment the plotly and dash visualization libraries for python. It is designed to combine rapid and beautiful data visualizations along with statistical analysis for research scientists and data scientists.
Kxy Python
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14
A toolkit to boost the productivity of machine learning engineers.
Quai
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14
QuAI is QNAP’s AI Developer Package, for data scientists and developers, to quickly build, train, optimize and deploy machine learning models, on top of QNAP NAS.
Ml Navigator
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14
Open source tutorial-based Machine Learning framework
Server
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14
The interface between data scientists and developers.
Awesome Data Science Models
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13
A few end to end examples that use data-describe
Optimus
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13
Henosis
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13
A Python framework for deploying recommendation models for form fields.
Phq Data Science Docs
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13
PredictHQ’s Data Science documentation
Blogposts
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12
Code that I make for my posts
Hyperml
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12
Frictionless Machine Learning on Kubernetes
2daycourse_exercises
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12
Jarvis
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12
Build, configure, and track workflows with Jarvis.
1-100 of 162 search results
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