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Data Science

Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.

https://github.com/apple/ml-symphony

Symphony: Interactive Data Widgets (CHI 2022)

computational-notebooks data-science data-visualization machine-learning

Last synced: 07 Oct 2024

https://github.com/dayyass/qaner

Unofficial implementation of QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition.

data-science machine-learning named-entity-recognition natural-language-processing ner nlp python python3 question-answering

Last synced: 07 Nov 2024

https://github.com/renumics/sliceguard

A library for detecting problematic data segments in structured and unstructured data with few lines of code.

data-analysis data-cleaning data-curation data-exploration data-science data-visualization deep-learning eda exploratory-data-analysis machine-learning python visualization

Last synced: 27 Oct 2024

https://github.com/bnosac/crfsuite

Labelling Sequential Data in Natural Language Processing with R - using CRFsuite

chunking conditional-random-fields crf crfsuite data-science intent-classification natural-language-processing ner nlp r r-package

Last synced: 11 Nov 2024

https://github.com/ahammadmejbah/artificial-intelligence-important-documents-collections

AI technology is significant because it allows software to do human functions—understanding, reasoning, planning, communication, and perception—increasingly effectively, efficiently, and affordably.

ai algorithms big-data computer-science computer-vision data-analyst data-engineering data-mining data-science deep-learning machine-learning mathematics python

Last synced: 11 Nov 2024

https://github.com/Desbordante/desbordante-core

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

anomaly-detection correlations data-analytics data-cleaning data-cleansing data-engineering data-exploration data-mining data-mining-algorithms data-preprocessing data-profiling data-science data-wrangling exploratory-data-analysis feature-engineering feature-extraction feature-selection knowledge-discovery spreadsheets tabular-data

Last synced: 04 Nov 2024

https://github.com/hannansatopay/roughviz

A Python visualization library for creating sketchy/hand-drawn styled charts.

charts data-science hacktoberfest jupyter-notebook python-visualization roughviz vizualisation

Last synced: 08 Nov 2024

https://github.com/dask-contrib/dask-awkward

Native Dask collection for awkward arrays, and the library to use it.

columnar-format dask data-analysis data-science data-structure jagged-array python ragged-array

Last synced: 11 Nov 2024

https://github.com/mitre/menelaus

Online and batch-based concept and data drift detection algorithms to monitor and maintain ML performance.

concept-drift data-drift data-science drift-detection machine-learning statistics

Last synced: 09 Nov 2024

https://github.com/alexioannides/ml-workflow-automation

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

classification data-science flask helm jupyter-notebook kaggle kubernetes machine-learning mlops numpy pandas python rest-api sklearn

Last synced: 28 Oct 2024

https://github.com/seandavi/sars2pack

An R package with over 50 highly cited, read-to-use, up-to-date COVID-19 pandemic data resources

biomedical-data coronavirus coronavirus-tracking covid-19 data-science data-visualization datascience datasets epidemics epidemiology geospatial public-health rstats rstats-package

Last synced: 05 Nov 2024

https://github.com/cihat/datastructure

📌🔎📝 Veri Yapıları (BMU221) ve bütün derslerin dokümantasyonu. Notes and examples in the data structure and all lessons course. Data Structures with Java.

bilgisayar-muhendisligi computer-science data-science data-structure data-structure-blogs data-structures data-structures-and-algorithms documentation turkce-dokumantasyon veri-bilimi veri-yapilari

Last synced: 06 Nov 2024

https://github.com/gesiscss/css_methods_python

A full course of self-explanatory and freely available materials on CSS methods

data-science jupyter-notebook python

Last synced: 09 Nov 2024

https://github.com/tf-encrypted/moose

Secure distributed dataflow framework for encrypted machine learning and data processing

cryptography data-science distributed-computing machine-learning privacy secure-computation

Last synced: 06 Nov 2024

https://github.com/ashishpatel26/datascienv

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

catboost data-science data-science-env datascienv imbalanced-data lightgbm matplotlib numpy pandas pycaret scikit-learn seaborn tensorflow2 xgboost

Last synced: 10 Oct 2024

https://github.com/terryyz/pyarmadillo

PyArmadillo: an alternative approach to linear algebra in Python

armadillo-library calculations data-science linear-algebra machine-learning

Last synced: 14 Oct 2024

https://github.com/randyzwitch/streamlit-embedcode

Streamlit component for embedding code snippets such as GitHub gists, CodePen snippets, Gitlab snippets, etc.

data-analysis data-science data-visualization python streamlit streamlit-component

Last synced: 11 Oct 2024

https://github.com/mratsim/mckinsey-smartcities-traffic-prediction

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

data-science deep-learning keras machine-learning neural-networks tensorflow time-series

Last synced: 22 Oct 2024

https://github.com/jmwoloso/pychattr

Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library

channel-attribution data-analysis data-science machine-learning python python-channel-attribution rpy2 wrapper

Last synced: 13 Nov 2024

https://github.com/yusufcinarci/data-science-projects

In this repo, there are (beginner-upper) level projects in the field of data science. I will host these projects that I have done in this field every day in this repo. With the hope that it will be useful to those who are interested in the field of data science like me and will just start...

data-analysis data-science data-science-projects jupyter jupyter-notebook python

Last synced: 07 Nov 2024

https://github.com/mine-cetinkaya-rundel/teach-r-online

Materials for the Teaching statistics and data science online workshops in July 2020

data-science education rstats statistics

Last synced: 05 Nov 2024

https://github.com/AstraZeneca/judgyprophet

Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment).

ai bayesian data-science forecasting machine-learning python statistics

Last synced: 26 Sep 2024

https://github.com/tgsmith61591/skoot

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.

data-science imbalanced-data machine-learning pandas python scikit-learn skutil

Last synced: 07 Nov 2024

https://github.com/mainakrepositor/datasets

A bunch of some 200 datasets. You can call it mini-kaggle :)

csv data data-science database datasets image-files mini-kaggle ml nlp-machine-learning tsv

Last synced: 12 Nov 2024

https://github.com/meteostat/weather-stations

A list of public weather stations everyone can edit and share.

climate data-science json meteostat weather weather-stations

Last synced: 08 Aug 2024

https://github.com/scrapinghub/aduana

Frontera backend to guide a crawl using PageRank, HITS or other ranking algorithms based on the link structure of the web graph, even when making big crawls (one billion pages).

data-science

Last synced: 10 Nov 2024

https://github.com/junpenglao/planet_sakaar_data_science

A colourful collection of codes and notebooks, like Planet Sakaar

bayesian-inference data-science pymc3

Last synced: 02 Nov 2024

https://github.com/alinski29/stonks.jl

Julia library for standardizing financial data retrieval and storage from multiple APIs.

data data-mining data-science dataframe finance julia trading trading-algorithms

Last synced: 02 Nov 2024

https://github.com/mikeizbicki/cmc-csci046

CMC's Data Structures and Algorithms Course Materials

cmc computer-science course data-science python3

Last synced: 08 Nov 2024

https://github.com/svilupp/awesome-generative-ai-meets-julia-language

Comprehensive guide to generative AI projects and resources in Julia.

awesome awesome-list data-science generative-ai julia

Last synced: 28 Oct 2024

https://github.com/dlab-berkeley/Python-Data-Wrangling-Legacy

D-Lab's 3 hour introduction to data wrangling in Python. Learn how to import and manipulate dataframes using pandas in Python.

data-science pandas python

Last synced: 11 Nov 2024

https://github.com/elshor/dstools

Javascript tools and utilities for the data scientist

data-science javascript

Last synced: 27 Oct 2024

https://github.com/ahmed-mohamed-sn/olliePy

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.

ai analytics charts dashboard data data-analytics data-science data-scientist eda error-analysis exploratory-data-analysis machine-learning python visualization

Last synced: 03 Aug 2024

https://github.com/shlizee/NeuroAI

NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.

ai cvpr data-science deep-learning eccv icml neural-networks neurips neuroscience-methods recurrent-neural-networks sfn

Last synced: 12 Nov 2024

https://github.com/ulikoehler/uliengineering

A python library for calculations perfomed in electronics engineering

data-analysis data-science electronics engineering python

Last synced: 26 Oct 2024

https://github.com/asad70/insider-trading

This program extracts insider trading data from the sec website and stores it in excel file for the specified time frame.

algotrading data-science extract-data insider-trading insiders tickers trading trading-strategies

Last synced: 11 Nov 2024

https://github.com/fcakyon/instafake-dataset

Dataset for Intagram Fake and Automated Account Detection

bot classification data-science dataset fake instafake instagram machine-learning research

Last synced: 22 Oct 2024

https://github.com/kaggledatasets/kaggledatasets

Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)

data-science datasets deep-learning kaggle keras machine-learning python pytorch scikit-learn tensorflow

Last synced: 13 Oct 2024

https://github.com/tommyod/paretoset

Compute the Pareto (non-dominated) set, i.e., skyline operator/query.

data-mining data-science datascience multi-objective-optimization optimization pandas skyline-query

Last synced: 11 Nov 2024

https://github.com/rcdilorenzo/ecce

ML Prediction of Bible Topics and Passages (Python / React)

data-science fastapi fully-connected-network interactive-visualizations keras-tensorflow reactjs

Last synced: 11 Nov 2024

https://github.com/stitchfix/mab

Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling and epsilon-greedy.

data-science experimentation go golang multi-armed-bandit multi-armed-bandits multiarmed-bandits reinforcement-learning thompson thompson-sampling

Last synced: 10 Nov 2024

https://github.com/jacksonburns/astartes

Better Data Splits for Machine Learning

ai data-science machine-learning ml python sampling

Last synced: 31 Oct 2024

https://github.com/zincware/ZnTrack

Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.

data-science data-version-control developer-tools dvc git machine-learning python reproducibility

Last synced: 14 Nov 2024

https://github.com/daun-io/Study-Data-Science

Practical data science notebooks that I used to study at 2016

data-science jupyter-notebook machine-learning tensorflow

Last synced: 07 Aug 2024

https://github.com/nolanbconaway/pitchfork-data

Analyses on over 18,000 pitchfork reviews.

data-science ipynb jupyter music pitchfork

Last synced: 11 Oct 2024

https://github.com/PKU-DAIR/mindware

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

automl-algorithms automl-pipeline bayesian-optimization blackbox-optimization data-science deep-learning distributed-systems ensemble-learning hyper-parameter-optimization knobs-tuning machine-learning meta-learning neural-architecture-search python

Last synced: 03 Aug 2024

https://github.com/lter/lterdatasampler

LTER data samples to teach environmental data science

data-science ecology lter-science r r-package

Last synced: 27 Oct 2024

https://github.com/tatevkaren/artificial-neural-network-business_case_study

Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)

ann ann-model artificial-neural-network artificial-neural-networks bank-customers case-study churn-analysis data-science deep-learning machine-learning prediction-model predictive-analytics python3 tensorflow-tutorials

Last synced: 12 Nov 2024

https://github.com/theengineeringworld/statistics-using-python

These files are part of Youtube Course "Statistics Using Python" Offered By The Engineering WOrld. Offered By: http://youtube.com/theengineeringworld

cleaning data-analysis data-mining data-science data-visualization database jupyter-notebooks python python3 statistics

Last synced: 08 Nov 2024

https://ddotta.github.io/cookbook-rpolars/

Cookbook to provide solutions to common tasks and problems in using Polars with R

benchmark cookbook data-engineering data-science datatable dplyr polars r tidyr

Last synced: 04 Aug 2024

https://github.com/opengeos/geoai

A Python package for using Artificial Intelligence (AI) with geospatial data

ai data-science geoai geopython geospatial jupyter python

Last synced: 11 Nov 2024