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216 search results found

Ml For Beginners ⭐ 63,698

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

Scikit Learn ⭐ 57,160

scikit-learn: machine learning in Python

Data Science Ipython Notebooks ⭐ 25,668

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.

Best Of Ml Python ⭐ 14,990

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Virgilio ⭐ 13,515

Your new Mentor for Data Science E-Learning.

Python Machine Learning Book ⭐ 11,645

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

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

Mlcourse.ai ⭐ 9,376

Open Machine Learning Course

Sktime ⭐ 7,405

A unified framework for machine learning with time series

Autogluon ⭐ 7,109

Fast and Accurate ML in 3 Lines of Code

Featuretools ⭐ 7,009

An open source python library for automated feature engineering

Python Machine Learning Book 2nd Edition ⭐ 5,944

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

Orange3 ⭐ 4,469

🍊 📊 💡 Orange: Interactive data analysis

Machine_learning_complete ⭐ 4,296

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

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

a delightful machine learning tool that allows you to train, test, and use models without writing code

Machine Learning With Python ⭐ 2,980

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

Mljar Supervised ⭐ 2,867

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Dtreeviz ⭐ 2,720

A python library for decision tree visualization and model interpretation.

Data Science Best Resources ⭐ 2,718

Carefully curated resource links for data science in one place

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Scikit Plot ⭐ 2,277

An intuitive library to add plotting functionality to scikit-learn objects.

Awesome Python Data Science ⭐ 2,126

Probably the best curated list of data science software in Python.

Python Cheat Sheet ⭐ 1,714

Python Cheat Sheet NumPy, Matplotlib

Feature_engine ⭐ 1,651

Feature engineering package with sklearn like functionality

High-Performance Symbolic Regression in Python and Julia

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

Auto_ml ⭐ 1,442

[UNMAINTAINED] Automated machine learning for analytics & production

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.

Xcessiv ⭐ 1,232

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Imodels ⭐ 1,229

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

Machine Learning With Python ⭐ 1,155

Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!

Sklearn Porter ⭐ 1,150

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

Alphapy ⭐ 1,003

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Machinelearningstocks ⭐ 851

Using python and scikit-learn to make stock predictions

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.

Skforecast ⭐ 792

Time series forecasting with scikit-learn models

A toolkit for conducting machine learning tasks with time series data

Datacamp Python Data Science Track ⭐ 655

All the slides, accompanying code and exercises all stored in this repo. 🎈

Hyperparameter_hunter ⭐ 635

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Concrete Ml ⭐ 607

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

A graph-based functional API for building complex scikit-learn pipelines.

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.

Palladium ⭐ 479

Framework for setting up predictive analytics services

Hyperactive ⭐ 475

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Sklearn Evaluation ⭐ 447

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

Machinejs ⭐ 412

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

Doubleml For Py ⭐ 365

DoubleML - Double Machine Learning in Python

Modelstore ⭐ 334

🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.

Library for Semi-Automated Data Science

Thesemicolon ⭐ 312

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

Scalecast ⭐ 292

The practitioner's forecasting library

Sk Dist ⭐ 283

Distributed scikit-learn meta-estimators in PySpark

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

Nimbusml ⭐ 265

Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

Imbalanced Ensemble ⭐ 234

Class-imbalanced Ensemble Learning in Python. | 类别不平衡/长尾机器学习库

Time Series Cross-Validation -- an extension for scikit-learn

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.

Scikeras ⭐ 204

Scikit-Learn API wrapper for Keras.

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.

Data Umbrella Scikit Learn Sprint ⭐ 176

scikit-learn sprint docs

Football_prediction_project ⭐ 141

This project pulls past game data from api-football, and use these statistics to predict the outcome of future premier league matches through the use of classical machine learning techniques.

Automated Tool for Optimized Modelling

Qlik Py Tools ⭐ 132

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

Interactive_machine_learning ⭐ 132

IPython widgets, interactive plots, interactive machine learning

Sunstreaker ⭐ 126

以jax为后端的类似keras的框架

Voice Based Gender Recognition ⭐ 122

🔉 👦 👧Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)

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

Ds_and_ml_projects ⭐ 110

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

Ml Email Clustering ⭐ 109

Email clustering with machine learning

Ciencia De Dados ⭐ 106

Disciplina de Ciências de Dados da UNINOVE

Scitime ⭐ 105

Training time estimation for scikit-learn algorithms

Pandas_dq ⭐ 101

Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.

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

Pymc Example Project ⭐ 87

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

Hyperimpute ⭐ 85

A framework for prototyping and benchmarking imputation methods

Arch Data Science ⭐ 83

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

Practicalmachinelearning ⭐ 79

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

Datawranglingpy ⭐ 70

Minimalist Data Wrangling with Python (Open-Access Textbook)

Topometry ⭐ 69

Systematically learn and evaluate manifolds from high-dimensional data

Data Science And Machine Learning Projects Dojo ⭐ 67

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

Pyparis 2018 Sklearn ⭐ 64

PyParis tutorial on machine learning using scikit-learn

Hypertune ⭐ 60

A library for performing hyperparameter optimization

Iterative Random Forest ⭐ 55

Python implementation of iterative-random-forests

A collection of online books for data science, computer science and coding!

Machine Learning_zero To Hero ⭐ 53

Welcome to Machine Learning: Zero to Hero: From the fundamentals of machine learning to advanced techniques like regressions, classification, clustering, Neural Networks, OpenCV, Recommendation Engines and more, this Python-based repository provides a comprehensive guide for mastering ML.

Geochemistrypi ⭐ 49

an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery

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.

Nba Predict ⭐ 46

Predicts Daily NBA Games Using a Logistic Regression Model

Algorithmic Trading ⭐ 46

Algorithmic trading using machine learning.

Autotabular ⭐ 45

Automatic machine learning for tabular data. ⚡🔥⚡

SciKIt-learn Pipeline in PAndas

Kernelmethods ⭐ 42

Foundational library for Kernel methods in pattern analysis and machine learning

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