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1,600 search results found

Causal_inference_python_code ⭐ 898

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

Just Pandas Things ⭐ 882

An ongoing list of pandas quirks

Hitchhikers Guide ⭐ 877

The Hitchhiker's Guide to Data Science for Social Good

Tutorials ⭐ 847

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Data Science Portfolio ⭐ 833

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Datasets For Recommender Systems ⭐ 821

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

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

Power Tools for AI Engineers With Deadlines

Cookbook 2nd ⭐ 773

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Datastream.io ⭐ 761

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Coursera ⭐ 746

Quiz & Assignment of Coursera

Sciblog_support ⭐ 742

Support content for my blog

Practical Machine Learning ⭐ 735

Practical machine learning notebook & articles covers the machine learning end to end life cycle.

Numerical Computing Is Fun ⭐ 731

Learning numerical computing with notebooks for all ages.

GRASS GIS - free and open-source geospatial processing engine

Python Ml Course ⭐ 724

Curso de Introducción a Machine Learning con Python

Textbook ⭐ 717

The textbook Computational and Inferential Thinking: The Foundations of Data Science

:bowtie: Create a dashboard with python!

Open Metric Learning ⭐ 699

Library for metric learning pipelines and models.

Jupyter ⭐ 696

The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automation.

Daily Dose Of Data Science ⭐ 691

A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

Ds Take Home ⭐ 682

My solution to the book A Collection of Data Science Take-Home Challenges

Statistical Rethinking With Python And Pymc3 ⭐ 674

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Featexp ⭐ 656

Feature exploration for supervised learning

Edward2 ⭐ 656

A simple probabilistic programming language.

Generative_deep_learning_2nd_edition ⭐ 652

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

Ai_all_resources ⭐ 647

A curated list of Best Artificial Intelligence Resources

Or Pandas ⭐ 637

【运筹OR帷幄|数据科学】pandas教程系列电子书

Interpretable_machine_learning_with_python ⭐ 629

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Data Science Projects ⭐ 623

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

Business Machine Learning ⭐ 620

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

Sigma_coding_youtube ⭐ 617

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

Project Walkthroughs ⭐ 614

Data science, machine learning, and web development project code for https://www.youtube.com/c/Dataquestio .

Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demograp

Concrete Ml ⭐ 607

Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.

Datascienceprojects ⭐ 604

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Jupyter_pivottablejs ⭐ 600

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

Deep Recommender System ⭐ 591

深度学习在推荐系统中的应用及论文小结。

Courses ⭐ 590

Answers for Quizzes & Assignments that I have taken

Coding For Economists ⭐ 589

This repository hosts the code behind the online book, Coding for Economists.

Awesome Learn Datascience ⭐ 568

📈 Curated list of resources to help you get started with Data Science

Datascience ⭐ 560

A Python library for introductory data science

Data Science Your Way ⭐ 532

Ways of doing Data Science Engineering and Machine Learning in R and Python

Cookbook 2nd Code ⭐ 532

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.

Jupyter Notify ⭐ 517

A Jupyter Notebook magic for browser notifications of cell completion

Datasciencecourse ⭐ 515

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

Opensource Roadmap Datascience ⭐ 512

¡Camino a una educación autodidacta en Ciencia de Datos!

Streamlit_freecodecamp ⭐ 504

Build 12 Data Apps in Python with Streamlit

Food Recipe Cnn ⭐ 502

food image to recipe with deep convolutional neural networks.

Intro To Python ⭐ 497

An intro to Python & programming for wanna-be data scientists

Machine_learning_and_deep_learning ⭐ 492

Stats Maths With Python ⭐ 492

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

Amazing Feature Engineering ⭐ 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.

Gpubootcamp ⭐ 479

This repository consists for gpu bootcamp material for HPC and AI

Open_source_demos ⭐ 478

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

Code_search ⭐ 474

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

Hands On Data Analysis With Pandas 2nd Edition ⭐ 473

Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

Codespaces Jupyter ⭐ 464

Explore machine learning and data science with Codespaces

Monitor the stability of a Pandas or Spark dataframe ⚙︎

Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon

Prodigy Recipes ⭐ 449

🍳 Recipes for the Prodigy, our fully scriptable annotation tool

Efficient Python For Data Scientists ⭐ 449

Writing clean and optimized Python code

Sklearn Evaluation ⭐ 447

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

Datascience ⭐ 445

Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar

The Elements Of Statistical Learning Python Notebooks ⭐ 441

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

Agile_data_code_2 ⭐ 435

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

All-in-one AI container for rapid prototyping

D3blocks ⭐ 432

The Python library to create stand-alone and interactive d3 charts.

Simple Gpu ⭐ 432

🦒 Functional WebGPU

Cartola ⭐ 428

Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-22. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-22.

Deltapy ⭐ 411

DeltaPy - Tabular Data Augmentation (by @firmai)

Mli Resources ⭐ 405

H2O.ai Machine Learning Interpretability Resources

Cursos Python ⭐ 404

Cursos completos de IA dictados por Humai

Efficient Learning of Augmentation Policy Schedules

Data Science Learning ⭐ 395

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

Hands On Data Analysis With Pandas ⭐ 390

Materials for following along with Hands-On Data Analysis with Pandas.

User Machine Learning Tutorial ⭐ 386

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

Lets Plot Kotlin ⭐ 385

Kotlin API for Lets-Plot Multiplatform plotting library based on the Grammar of Graphics

Introduction Datascience Python Book ⭐ 385

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

Apricot ⭐ 376

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/in

Python Flow Based Programming environment that provides a graphical programming environment.

Resourcebank_cv_nlp_mlops_2022 ⭐ 375

This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.

Jupyterlab_templates ⭐ 370

Support for jupyter notebook templates in jupyterlab

Datascience_artificialintelligence_utils ⭐ 369

Examples of Data Science projects and Artificial Intelligence use-cases

Project Guidance ⭐ 367

:octocat:🌟 The Ultimate resources for beginner to advance level projects all at one place 💻 🎯🚀

Primehub ⭐ 367

open-source MLOps platform

Workshops ⭐ 362

Workshops organized to introduce students to security, AI, blockchain, AR/VR, hardware and software

Dcai Lab ⭐ 356

Lab assignments for Introduction to Data-Centric AI, MIT IAP 2023 👩🏽‍💻

Fraud Detection Handbook ⭐ 352

Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

Python library for identifying the peaks and valleys of a time series.

GoNB, a Go Notebook Kernel for Jupyter

Pydatalab ⭐ 347

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

Alphatools ⭐ 346

Quantitative finance research tools in Python

Lantern ⭐ 338

Data exploration glue

Cryptocurrency Price Prediction ⭐ 337

Cryptocurrency Price Prediction Using LSTM neural network

Causal Inference With Python ⭐ 328

Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.

Latest News Classifier ⭐ 328

Master in Data Science Final Project

Testovoe ⭐ 323

Home assignments for data science positions

Geospatialdatascience ⭐ 321

Course materials for: Geospatial Data Science

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