scikit-learn: machine learning in Python
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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PythonDataScienceHandbookby jakevdp
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Python Data Science Handbook: full text in Jupyter Notebooks
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Streamlit — A faster way to build and share data apps.
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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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Complete-Python-3-Bootcampby Pierian-Data
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Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js
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TuShare is a utility for crawling historical data of China stocks
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Parallel computing with task scheduling
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Statistical data visualization in Python
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pandas_exercisesby guipsamora
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Practice your pandas skills!
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Open Machine Learning Course
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Modin: Scale your Pandas workflows by changing a single line of code
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Create HTML profiling reports from pandas DataFrame objects
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Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
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dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
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AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
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A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
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Jupyter notebooks for teaching/learning Python 3
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cuDF - GPU DataFrame Library
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common data analysis and machine learning tasks using python
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Automatically visualize your pandas dataframe via a single print! 📊 💡
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Create delightful software with Jupyter Notebooks
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Visualizer for pandas data structures
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An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
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AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
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Powerful, mature open-source cross-platform game engine for Python and C++, developed by Disney and CMU
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Technical Analysis Library using Pandas and Numpy
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Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
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Missing data visualization module for Python.
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The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
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Java dataframe and visualization library
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NumPy and Pandas interface to Big Data
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N-D labeled arrays and datasets in Python
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Performance analysis of predictive (alpha) stock factors
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Extract data from a wide range of Internet sources into a pandas DataFrame.
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Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
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NLP-with-Pythonby susanli2016
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Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
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Visualize and compare datasets, target values and associations, with one line of code.
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:earth_americas: machine learning tutorials (mainly in Python3)
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An intuitive library to add plotting functionality to scikit-learn objects.
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Complete-Python-Bootcampby jmportilla
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Data scraper for Facebook Pages, and also code accompanying the blog post How to Scrape Data From Facebook Page Posts for Statistical Analysis
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scikit-learnby scikit-learn
scikit-learn: machine learning in Python
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pandasby pandas-dev
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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PythonDataScienceHandbookby jakevdp
Python Data Science Handbook: full text in Jupyter Notebooks
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streamlitby streamlit
Streamlit — A faster way to build and share data apps.
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handson-ml2by ageron
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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Complete-Python-3-Bootcampby Pierian-Data
Course Files for Complete Python 3 Bootcamp Course on Udemy
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pydata-bookby wesm
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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polarsby pola-rs
Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js
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tushareby waditu
TuShare is a utility for crawling historical data of China stocks
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daskby dask
Parallel computing with task scheduling
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seabornby mwaskom
Statistical data visualization in Python
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notebookby jupyter
Jupyter Interactive Notebook
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yfinanceby ranaroussi
Download market data from Yahoo! Finance's API
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pandas_exercisesby guipsamora
Practice your pandas skills!
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mlcourse.aiby Yorko
Open Machine Learning Course
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modinby modin-project
Modin: Scale your Pandas workflows by changing a single line of code
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pandas-profilingby pandas-profiling
Create HTML profiling reports from pandas DataFrame objects
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vaexby vaexio
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
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dbt-coreby dbt-labs
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
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akshareby akfamily
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
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imbalanced-learnby scikit-learn-contrib
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
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learn-python3by jerry-git
Jupyter notebooks for teaching/learning Python 3
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cudfby rapidsai
cuDF - GPU DataFrame Library
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DataSciencePythonby ujjwalkarn
common data analysis and machine learning tasks using python
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luxby lux-org
Automatically visualize your pandas dataframe via a single print! 📊 💡
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nbdevby fastai
Create delightful software with Jupyter Notebooks
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dtaleby man-group
Visualizer for pandas data structures
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ISLR-pythonby JWarmenhoven
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
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akshareby jindaxiang
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
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panda3dby panda3d
Powerful, mature open-source cross-platform game engine for Python and C++, developed by Disney and CMU
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taby bukosabino
Technical Analysis Library using Pandas and Numpy
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evidentlyby evidentlyai
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
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missingnoby ResidentMario
Missing data visualization module for Python.
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WhirlwindTourOfPythonby jakevdp
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
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tablesawby jtablesaw
Java dataframe and visualization library
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blazeby blaze
NumPy and Pandas interface to Big Data
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xarrayby pydata
N-D labeled arrays and datasets in Python
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PandasGUIby adamerose
A GUI for Pandas DataFrames
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tadby antonycourtney
A desktop application for viewing and analyzing tabular data
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alphalensby quantopian
Performance analysis of predictive (alpha) stock factors
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pandas-datareaderby pydata
Extract data from a wide range of Internet sources into a pandas DataFrame.
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marsby mars-project
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
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NLP-with-Pythonby susanli2016
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
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sweetvizby fbdesignpro
Visualize and compare datasets, target values and associations, with one line of code.
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machine-learningby ethen8181
:earth_americas: machine learning tutorials (mainly in Python3)
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scikit-plotby reiinakano
An intuitive library to add plotting functionality to scikit-learn objects.
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swifterby jmcarpenter2
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
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Complete-Python-Bootcampby jmportilla
Lectures for Udemy - Complete Python Bootcamp Course
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facebook-page-post-scraperby minimaxir
Data scraper for Facebook Pages, and also code accompanying the blog post How to Scrape Data From Facebook Page Posts for Statistical Analysis
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pandas-videosby justmarkham
Jupyter notebook and datasets from the pandas Q&A video series
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