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2,956 search results found

Ml For Beginners ⭐ 48,894

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Probabilistic Programming And Bayesian Methods For Hackers ⭐ 25,566

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Data Science For Beginners ⭐ 19,218

10 Weeks, 20 Lessons, Data Science for All!

Dash ⭐ 18,785

Data Apps & Dashboards for Python. No JavaScript Required.

Fastbook ⭐ 18,555

The fastai book, published as Jupyter Notebooks

Ipython ⭐ 15,830

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Recommenders ⭐ 15,799

Best Practices on Recommendation Systems

Python Machine Learning Book ⭐ 11,645

The "Python Machine Learning (1st edition)" book code repository and info resource

Ds Cheatsheets ⭐ 11,535

List of Data Science Cheatsheets to rule the world

Ydata Profiling ⭐ 10,678

Create HTML profiling reports from pandas DataFrame objects

Mit Deep Learning ⭐ 9,328

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Numerical Linear Algebra ⭐ 9,325

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Computervision Recipes ⭐ 8,950

Best Practices, code samples, and documentation for Computer Vision.

Amazon Sagemaker Examples ⭐ 8,437

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Pycaret ⭐ 7,367

An open-source, low-code machine learning library in Python

Machine Learning For Trading ⭐ 7,237

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

Wowchemy Hugo Themes ⭐ 7,193

😍 EASILY BUILD THE WEBSITE YOU WANT - NO CODE, JUST MARKDOWN BLOCKS! 创建在线课程，学术简历或初创网站。#OpenScience

H2o 3 ⭐ 6,299

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Industry Machine Learning ⭐ 6,077

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Nteract ⭐ 5,987

📘 The interactive computing suite for you! ✨

Python Machine Learning Book 2nd Edition ⭐ 5,944

The "Python Machine Learning (2nd edition)" book code repository and info resource

Data Analysis And Machine Learning Projects ⭐ 4,836

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Edward ⭐ 4,503

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Feast ⭐ 4,358

Feature Store for Machine Learning

Automatically visualize your pandas dataframe via a single print! 📊 💡

Dtale ⭐ 4,060

Visualizer for pandas data structures

Machine_learning_complete ⭐ 3,985

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

D2l Pytorch ⭐ 3,933

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

Probability ⭐ 3,917

Probabilistic reasoning and statistical analysis in TensorFlow

Orchest ⭐ 3,876

Build data pipelines, the easy way 🛠️

Hydrogen ⭐ 3,855

:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.

Nlpaug ⭐ 3,825

Data augmentation for NLP

Datascience ⭐ 3,751

Curated list of Python resources for data science.

Data Science ⭐ 3,716

Collection of useful data science topics along with articles, videos, and code

Machinelearningnotebooks ⭐ 3,705

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Gophernotes ⭐ 3,544

The Go kernel for Jupyter notebooks and nteract.

Evidently ⭐ 3,482

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

Fastpages ⭐ 3,435

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

Competition Baseline ⭐ 3,432

数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

Awesome Jupyter ⭐ 3,374

A curated list of awesome Jupyter projects, libraries and resources

Polyaxon ⭐ 3,324

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Course Nlp ⭐ 3,271

A Code-First Introduction to NLP course

Scikit Learn Videos ⭐ 3,180

Jupyter notebooks from the scikit-learn video series

Ploomber ⭐ 3,083

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

Tensorwatch ⭐ 3,068

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

Mercury ⭐ 3,014

Build Web Apps in Jupyter Notebook with Python only

Panel ⭐ 2,835

A high-level app and dashboarding solution for Python

Ml Workspace ⭐ 2,816

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Geemap ⭐ 2,728

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

Machine Learning With Python ⭐ 2,712

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Deepchecks ⭐ 2,705

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Deep Learning Book ⭐ 2,650

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

God Level Data Science Ml Full Stack ⭐ 2,545

A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

Dtreeviz ⭐ 2,532

A python library for decision tree visualization and model interpretation.

Flaml ⭐ 2,496

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Python Is Cool ⭐ 2,468

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

Interactive ⭐ 2,431

.NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

Python Training ⭐ 2,360

Python training for business analysts and traders

Machine Learning ⭐ 2,305

🌎 machine learning tutorials (mainly in Python3)

Whylogs ⭐ 2,245

The open standard for data logging

Data Science Question Answer ⭐ 2,239

A repo for data science related questions and answers

Component Library ⭐ 2,157

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

Interactive Go programming with Jupyter

Zero To Mastery Ml ⭐ 1,926

All course materials for the Zero to Mastery Machine Learning and Data Science course.

Python Causality Handbook ⭐ 1,900

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Linear Algebra With Python ⭐ 1,846

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

Pandas Videos ⭐ 1,808

Jupyter notebook and datasets from the pandas Q&A video series

Medium_notebook ⭐ 1,778

Repository containing notebooks of my posts on Medium

Monorepo ⭐ 1,756

The mitosheet package, trymito.io, and other public Mito code.

Ml Foundations ⭐ 1,705

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

Leafmap ⭐ 1,657

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

Covid19 Dashboard ⭐ 1,645

A site that displays up to date COVID-19 stats, powered by fastpages.

Dataprep ⭐ 1,636

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

Nannyml ⭐ 1,570

Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance.

Arcgis Python Api ⭐ 1,559

Documentation and samples for ArcGIS API for Python

General Assembly's 2015 Data Science course in Washington, DC

Spark Py Notebooks ⭐ 1,515

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

An Introduction To Statistical Learning ⭐ 1,481

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Fklearn ⭐ 1,437

fklearn: Functional Machine Learning

H2o Tutorials ⭐ 1,403

Tutorials and training material for the H2O Machine Learning Platform

Scikit Learn Tips ⭐ 1,393

🤖⚡️ 50 scikit-learn tips

Hyperlearn ⭐ 1,387

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Andrew Ng Notes ⭐ 1,367

This is Andrew NG Coursera Handwritten Notes.

Featureform ⭐ 1,356

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Hackermath ⭐ 1,339

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

Knet.jl ⭐ 1,336

Koç University deep learning framework.

Cracking The Data Science Interview ⭐ 1,291

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Machine_learning_refined ⭐ 1,247

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

Efficient_python_tricks_and_tools_for_data_scientists ⭐ 1,208

Efficient Python Tricks and Tools for Data Scientists

Ppd599 ⭐ 1,208

USC urban data science course series with Python and Jupyter

Fastquant ⭐ 1,157

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Data Science On Gcp ⭐ 1,157

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

Imodels ⭐ 1,110

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Azureml Examples ⭐ 1,110

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

Football_analytics ⭐ 1,091

📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

Awesome Google Colab ⭐ 1,055

Google Colaboratory Notebooks and Repositories (by @firmai)

Deeplearning Mindmap ⭐ 1,050

A mindmap summarising Deep Learning concepts.

Vscode Jupyter ⭐ 1,041

VS Code Jupyter extension

Pixiedust ⭐ 1,030

Python Helper library for Jupyter Notebooks

Causal_inference_python_code ⭐ 898

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

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