866 Open source projects that are alternatives of or similar to Datasciencepython

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

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A curated list of fraud detection papers using graph information or graph neural networks

💫 Industrial-strength Natural Language Processing (NLP) in Python

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useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

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阿水的数据竞赛开源分支

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Code for Machine Learning for Algorithmic Trading, 2nd edition.

Production Data Science: a workflow for collaborative data science aimed at production

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Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).

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A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

🚀 Build and manage real-life data science projects with ease!

Interactive network visualization in Python and Dash, powered by Cytoscape.js

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Leave One Feature Out Importance

R package of data and code behind the stories and interactives at FiveThirtyEight

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

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High-performance Vision library in Python. Scale your research, not boilerplate.

Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-20. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-19.

This is the companion curriculum to my guide to becoming a data scientist.

A repository of pretty cool datasets that I collected for network science and machine learning research.

A simple probabilistic programming language.

open source for wechat-official-account (ID: PyDataLab)

Wikipedia tools (for Humans): easily extract data from Wikipedia, Wikidata, and other MediaWikis

Jupyter notebooks from the scikit-learn video series

Building Convolutional Neural Networks From Scratch using NumPy

Function-oriented Make-like declarative workflows for R

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Debugging, monitoring and visualization for Python Machine Learning and Data Science

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

AutoGluon: AutoML for Text, Image, and Tabular Data

food image to recipe with deep convolutional neural networks.

Interactive and Reactive Data Science using Scala and Spark.

An extension to pandas dataframes describe function.

Curso de Data Science em Português

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

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Biosignal Processing in Python

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

Python module for machine learning time series:

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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"