Top 354 scikit-learn open source projects

Nyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

Code, Notebooks and Examples from Practical Business Python

[UNMAINTAINED] Automated machine learning for analytics & production

Python机器学习，机器学习入门首选。

A simple example of python api for real time machine learning, using scikit-learn, Flask and Docker

Open standard for machine learning interoperability

Email clustering with machine learning

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

sources for daal4py - a convenient Python API to oneDAL

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

A collection of all projects pertaining to different layers in the SDC software stack

Jun 2020 scikit-learn sprint

📓 Long(er) text representation and classification using Doc2Vec embeddings

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

Credit Risk analysis by using Python and ML

Easy and comprehensive assessment of predictive power, with support for neuroimaging features

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

JARVIS-Tools: an open-source software package for data-driven atomistic materials design

MLeap: Deploy ML Pipelines to Production

🤖⚡️ scikit-learn tips

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

A repository for recording the machine learning code

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

Start writing machine learning code in just 10 hours

Introduction to Statistical Learning with R을 Python으로

A collection of Machine Learning algorithms written from sctrach.

Materials for the course of machine learning at Imperial College organized by Yandex SDA

Disease Prediction based on Symptoms.

A modular active learning framework for Python

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.

Metric learning algorithms in Python

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

🎓 Jupyter notebooks from UFC data science course

Carefully curated resource links for data science in one place

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

Parallel computing with task scheduling

A series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills

Code for polyaxon tutorials and examples

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

PySpark + Scikit-learn = Sparkit-learn

Simple implementation of sar target recognition using machine learning methods

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

(Deprecated) Scikit-learn integration package for Apache Spark

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.

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

For extensive instructor led learning

notebooks with example for machine learning examples

Automatic paper clustering and search tool by fastext from Facebook Research

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

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

Computer vision sabbatical study materials

A collection of notebooks of my Machine Learning class written in python 3

Open Machine Learning Course

An Interactive Approach to Understanding Deep Learning with Keras

Predicting forex binary options using time series data and machine learning

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

Alpine Container for Machine Learning