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411 search results found

Pythondatasciencehandbook ⭐ 40,176

Python Data Science Handbook: full text in Jupyter Notebooks

Handson Ml ⭐ 25,036

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Python Machine Learning Book ⭐ 11,645

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

Python Machine Learning Book 2nd Edition ⭐ 5,944

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

Machine_learning_complete ⭐ 4,296

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

Machinelearning ⭐ 4,030

My blogs and code for machine learning. http://cnblogs.com/pinard

Python Machine Learning Book 3rd Edition ⭐ 3,897

The "Python Machine Learning (3rd edition)" book code repository

Flaml ⭐ 3,500

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

God Level Data Science Ml Full Stack ⭐ 3,384

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

Ml Workspace ⭐ 3,197

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

Scikit Learn Videos ⭐ 3,180

Jupyter notebooks from the scikit-learn video series

Dtreeviz ⭐ 2,720

A python library for decision tree visualization and model interpretation.

Machine Learning Book ⭐ 2,474

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Practical Machine Learning With Python ⭐ 2,054

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Data Science Complete Tutorial ⭐ 1,575

For extensive instructor led learning

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

Parallel_ml_tutorial ⭐ 1,529

Tutorial on scikit-learn and IPython for parallel machine learning

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.

Python Tutorial ⭐ 1,261

Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数

Imodels ⭐ 1,229

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

Hands On Machine Learning ⭐ 1,201

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Text Analytics With Python ⭐ 1,073

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Scikit Learn Mooc ⭐ 963

Machine learning in Python with scikit-learn MOOC

Data Science Portfolio ⭐ 833

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

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

Human Learn ⭐ 759

Natural Intelligence is still a pretty good idea.

Oneapi Samples ⭐ 758

Samples for Intel® oneAPI Toolkits

Sklearn Deap ⭐ 731

Use evolutionary algorithms instead of gridsearch in scikit-learn

Scikit Multiflow ⭐ 700

A machine learning package for streaming data in Python. The other ancestor of River.

Concrete Ml ⭐ 607

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

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.

Sklearn Evaluation ⭐ 447

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

Sklearn Bayes ⭐ 439

Python package for Bayesian Machine Learning with scikit-learn API

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Pycon 2016 Tutorial ⭐ 410

Machine Learning with Text in scikit-learn

Explainx ⭐ 375

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ [email protected]

Multimodal Speech Emotion Recognition ⭐ 337

Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)

Machine Learning Python ⭐ 320

機器學習: Python

Thesemicolon ⭐ 312

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Machine Learning Notebooks ⭐ 258

Stanford Machine Learning course exercises implemented with scikit-learn

Linear Tree ⭐ 253

A python library to build Model Trees with Linear Models at the leaves.

Pqkmeans ⭐ 249

Fast and memory-efficient clustering

Ml Forex Prediction ⭐ 247

Predicting Forex Future Price with Machine Learning

Python Learning ⭐ 220

This repository is dedicated to Python courses with a focus on artificial intelligence, data science, and practical machine learning. I have been conducting these courses in various levels since 2021.

Feature Engineering Tutorials ⭐ 217

Data Science Feature Engineering and Selection Tutorials

Machine Learning ⭐ 206

Learn AI together, for free. AI learning and teaching resources for everyone.

Hg Mldl ⭐ 199

<혼자 공부하는 머신러닝+딥러닝>의 코드 저장소입니다.

Sklearn Benchmarks ⭐ 190

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

Nba Prediction ⭐ 186

A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

Practical Machine Learning With Python ⭐ 182

Machine Learning Tutorials in Python

Conformal classifiers, regressors and predictive systems

Handson Ml2 Vn ⭐ 164

Jupyter Notebook cung cấp các kiến thức cơ bản về Học Máy và Học Sâu bằng Python với Scikit-Learn, Keras, và TensorFlow 2.

Machine Learning for High Energy Physics.

Spotify Recommendation Engine ⭐ 161

Music Recommender System

Disease Prediction From Symptoms ⭐ 159

Disease Prediction based on Symptoms.

Bet On Sibyl ⭐ 157

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

Credit Card Approval Prediction Classification ⭐ 153

Credit risk analysis for credit card applicants

Topic Model Tutorial ⭐ 152

Tutorial on topic models in Python with scikit-learn

Converse ⭐ 147

Conversational text Analysis using various NLP techniques

Py4chemoinformatics ⭐ 147

Python for chemoinformatics

Automated Tool for Optimized Modelling

Machine Learning And Reinforcement Learning In Finance ⭐ 135

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

Pymc3_models ⭐ 134

Tspiral ⭐ 133

A python package for time series forecasting with scikit-learn estimators.

Interactive_machine_learning ⭐ 132

IPython widgets, interactive plots, interactive machine learning

Pydata Chicago2016 Ml Tutorial ⭐ 128

Machine learning with scikit-learn tutorial at PyData Chicago 2016

Feature Engineering Handbook ⭐ 127

A practical feature engineering handbook

Tutorials Scikit Learn ⭐ 120

Scikit-Learn tutorials

Bert Sklearn ⭐ 119

a sklearn wrapper for Google's BERT model

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Hands On Gradient Boosting With Xgboost And Scikit Learn ⭐ 116

Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt

Ai Deployment ⭐ 116

关注AI模型上线、模型部署

Python Machine Learning Zh ⭐ 115

Python机器学习，机器学习入门首选。

Hands On Machine Learning With Scikit Learn And Scientific Python Toolkits ⭐ 112

The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algorithms in Python by Tarek Amr

Poniard ⭐ 111

Streamline scikit-learn model comparison.

Ds_and_ml_projects ⭐ 110

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Ciencia De Dados ⭐ 106

Disciplina de Ciências de Dados da UNINOVE

How To Score 0.8134 In Titanic Kaggle Challenge ⭐ 105

Solution of the Titanic Kaggle competition

Scikit Activeml ⭐ 101

Our package scikit-activeml is a Python library for active learning on top of SciPy and scikit-learn.

Visualizations of machine learning models and algorithms

Hands On Machine Learning With Scikit Learn Keras And Tensorflow ⭐ 97

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

30 Days Of Ml Kaggle ⭐ 93

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle

Python Machine Learning Book 3rd Edition ⭐ 93

<머신 러닝 교과서 3판>의 코드 저장소

Sktime Tutorial Pydata Amsterdam 2020 ⭐ 91

Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020

Aws Lambda Docker Serverless Inference ⭐ 88

Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

Ml Webinar ⭐ 87

Machine Learning with sklearn tutorials (for Pearson)

Pymc Example Project ⭐ 87

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Mindwave ⭐ 86

MindWave is an open-source project designed for beginners to learn about data science, machine learning, deep learning, and reinforcement learning algorithms using Python. The project offers a platform for implementing relevant algorithms, with open-source tools and libraries.

Aureliengeron ⭐ 81

“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Excerpt From: Aurélien Géron. “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.” iBooks.

Machine Learning ⭐ 80

Code & Data for Introduction to Machine Learning with Scikit-Learn

Ztdl Masterclasses ⭐ 80

Practicalmachinelearning ⭐ 79

A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source

Docker Python Deep Learning ⭐ 74

A container for Deep Learning with Python 3

Scikit-learn compatible Locality Preserving Projections in Python

Fraud Detection ⭐ 71

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

Credit Risk Modelling ⭐ 71

Credit Risk analysis by using Python and ML

Ml Starter Pack ⭐ 70

A collection of Machine Learning algorithms written from sctrach.

Datawranglingpy ⭐ 70

Minimalist Data Wrangling with Python (Open-Access Textbook)

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