This repository for Teaching Analytics using Python Programming
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Full Stack Data Science in Python
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Multiple Imputation with LightGBM in Python
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Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain
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Detailed Python developer roadmap
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R package implementation of Milo for testing for differential abundance in KNN graphs
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Quantitative Finance book
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An introductory workshop on pandas with notebooks and exercises for following along.
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Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
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A library for recording and reading data in notebooks.
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The ultimate reference guide to data wrangling with Python and R
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Python package for Imputation Methods
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Statistical Analysis of Network Data with R, 2nd Edition
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california-coronavirus-databy datadesk
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The Los Angeles Times' open-source archive of California coronavirus data
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your-first-kaggle-submissionby mrdbourke
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License: No License (No License)How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.
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python-for-data-scienceby blobcity
Jupyter Notebook 206 Version:Current License: Permissive (Apache-2.0)
A collection of Jupyter Notebooks for learning Python for Data Science.
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New generation decentralized data warehouse and streaming data pipeline
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Devenez Data-Scientist sur Le Wagon On Demand
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rosettaby columbia-applied-data-science
Jupyter Notebook 203 Version:Current License: Proprietary (Proprietary)
Tools, wrappers, etc... for data science with a concentration on text processing
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IBM-Data-Science-Professional-Certificationby Thomas-George-T
Jupyter Notebook 203 Version:Current License: No License (No License)
License: No License (No License)Learning materials, Quizzes & Assignment solutions for the entire IBM data science professional certification. Also included, a few resources that I found helpful.
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Elementary is an open-source data observability framework for modern data teams, starting with data lineage.
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Learn how to build a data analysis library from scratch
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A predictive model developed to identify medium-voltage electrical distribution grid infrastructure using publicly available data sources.
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Jupyter Notebook extension leveraging pandas DataFrames by integrating DataTables and ChartJS.
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Repositório de códigos da disciplina de Algoritmos e Estrutura de Dados II
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A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results
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A validation library for Pandas data frames using user-friendly schemas
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Repository for data science course Spring 14
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Redshift Python Connector. It supports Python Database API Specification v2.0.
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DataScience_Interview_Questionsby milaan9
Jupyter Notebook 181 Version:Current License: Permissive (MIT)
My Solutions to 120 commonly asked data science interview questions.
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Progress monitor: monitor a job's progress
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An example MLflow project
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The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.
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matgenbby materialsvirtuallab
Jupyter Notebook 174 Version:Current License: Permissive (BSD-3-Clause)
Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.
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Python package for multivariate hypothesis testing
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Python-Data-Cleaning-Cookbookby PacktPublishing
Python 168 Version:Current License: Permissive (MIT)
Python Data Cleaning Cookbook, published by Packt
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An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
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Python-Fundamentalsby dlab-berkeley
Jupyter Notebook 159 Version:Current License: Proprietary (Proprietary)
D-Lab's 12 hour introduction to Python. Learn how to create variables and functions, use control flow structures, use libraries, import data, and more, using Python and Jupyter Notebooks.
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Roadmap for becoming Python developer.
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introDataScienceby iewaij
Jupyter Notebook 155 Version:Current License: Strong Copyleft (CC-BY-SA-4.0)
Notes on Data Science. 数理统计、机器学习和数据编程的学习笔记。
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A Toolbox for Non-Tabular Data Manipulation
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Python-Data-Structures-and-Algorithmsby PacktPublishing
Python 153 Version:Current License: Permissive (MIT)
Python Data Structures and Algorithms, published by Packt
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[BMVC'19] Tracking Holistic Object Representations
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The Open Source Time-Series Data Historian
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machine_learning_for_goodby DeltaAnalytics
Jupyter Notebook 153 Version:Current License: Permissive (CC-BY-4.0)
Machine learning fundamentals lesson in interactive notebooks
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Code execution via Python package installation.
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Python toolbox for sampling Determinantal Point Processes
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hypertools-paper-notebooksby ContextLab
Jupyter Notebook 146 Version:Current License: Permissive (MIT)
Supporting notebooks and data from hypertools paper
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🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
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pyAnalyticsby DUanalytics
This repository for Teaching Analytics using Python Programming
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full-stack-data-scienceby amitkaps
Full Stack Data Science in Python
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miceforestby AnotherSamWilson
Multiple Imputation with LightGBM in Python
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mriqcby nipreps
Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain
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pyroadby amaargiru
Detailed Python developer roadmap
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miloRby MarioniLab
R package implementation of Milo for testing for differential abundance in KNN graphs
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QuantFinanceBookby LechGrzelak
Quantitative Finance book
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pandas-workshopby stefmolin
An introductory workshop on pandas with notebooks and exercises for following along.
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10_Python_Pandas_Moduleby milaan9
Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
Jupyter Notebook 221Updated: 2 y ago License: Permissive (MIT)
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scrapbookby nteract
A library for recording and reading data in notebooks.
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DataWranglingby ben519
The ultimate reference guide to data wrangling with Python and R
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autoimputeby kearnz
Python package for Imputation Methods
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sandby kolaczyk
Statistical Analysis of Network Data with R, 2nd Edition
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california-coronavirus-databy datadesk
The Los Angeles Times' open-source archive of California coronavirus data
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DataGotham2013by yhat
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your-first-kaggle-submissionby mrdbourke
How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.
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python-for-data-scienceby blobcity
A collection of Jupyter Notebooks for learning Python for Data Science.
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kamu-cliby kamu-data
New generation decentralized data warehouse and streaming data pipeline
Rust 205Updated: 2 y ago License: Proprietary (Proprietary)
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data-kitby lewagon
Devenez Data-Scientist sur Le Wagon On Demand
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rosettaby columbia-applied-data-science
Tools, wrappers, etc... for data science with a concentration on text processing
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IBM-Data-Science-Professional-Certificationby Thomas-George-T
Learning materials, Quizzes & Assignment solutions for the entire IBM data science professional certification. Also included, a few resources that I found helpful.
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elementary-lineageby elementary-data
Elementary is an open-source data observability framework for modern data teams, starting with data lineage.
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pandas_cubby tdpetrou
Learn how to build a data analysis library from scratch
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many-to-many-dijkstraby facebookresearch
A predictive model developed to identify medium-voltage electrical distribution grid infrastructure using publicly available data sources.
Python 192Updated: 4 y ago License: Permissive (MIT)
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jupyter-datatablesby CermakM
Jupyter Notebook extension leveraging pandas DataFrames by integrating DataTables and ChartJS.
JavaScript 192Updated: 2 y ago License: Permissive (MIT)
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aeds2by icei-pucminas
Repositório de códigos da disciplina de Algoritmos e Estrutura de Dados II
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BagofTricks-LTby zhangyongshun
A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results
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PandasSchemaby multimeric
A validation library for Pandas data frames using user-friendly schemas
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datascience-sp14by amplab
Repository for data science course Spring 14
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amazon-redshift-python-driverby aws
Redshift Python Connector. It supports Python Database API Specification v2.0.
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DataScience_Interview_Questionsby milaan9
My Solutions to 120 commonly asked data science interview questions.
Jupyter Notebook 181Updated: 2 y ago License: Permissive (MIT)
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pmonitorby dspinellis
Progress monitor: monitor a job's progress
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mlflow-exampleby mlflow
An example MLflow project
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CAMELYONby ilikewind
The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.
Python 174Updated: 4 y ago License: No License (No License)
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matgenbby materialsvirtuallab
Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.
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hyppoby neurodata
Python package for multivariate hypothesis testing
Python 171Updated: 2 y ago License: Permissive (MIT)
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Python-Data-Cleaning-Cookbookby PacktPublishing
Python Data Cleaning Cookbook, published by Packt
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fastverseby fastverse
An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
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Python-Fundamentalsby dlab-berkeley
D-Lab's 12 hour introduction to Python. Learn how to create variables and functions, use control flow structures, use libraries, import data, and more, using Python and Jupyter Notebooks.
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Python-developer-roadmapby ErdemOzgen
Roadmap for becoming Python developer.
Python 156Updated: 2 y ago License: Permissive (MIT)
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introDataScienceby iewaij
Notes on Data Science. 数理统计、机器学习和数据编程的学习笔记。
Jupyter Notebook 155Updated: 2 y ago License: Strong Copyleft (CC-BY-SA-4.0)
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rlistby renkun-ken
A Toolbox for Non-Tabular Data Manipulation
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Python-Data-Structures-and-Algorithmsby PacktPublishing
Python Data Structures and Algorithms, published by Packt
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THORby xl-sr
[BMVC'19] Tracking Holistic Object Representations
Python 153Updated: 2 y ago License: Permissive (MIT)
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openHistorianby GridProtectionAlliance
The Open Source Time-Series Data Historian
TypeScript 153Updated: 2 y ago License: Permissive (MIT)
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machine_learning_for_goodby DeltaAnalytics
Machine learning fundamentals lesson in interactive notebooks
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0wnedby mschwager
Code execution via Python package installation.
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DPPyby guilgautier
Python toolbox for sampling Determinantal Point Processes
Python 148Updated: 4 y ago License: Permissive (MIT)
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hypertools-paper-notebooksby ContextLab
Supporting notebooks and data from hypertools paper
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papermill-mlflowby eugeneyan
🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
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