455 Open source projects that are alternatives of or similar to scikit-learn

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

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

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

🧙 A web app to generate template code for machine learning

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

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

A repository for recording the machine learning code

Docker Start Guide with Python Development Environment

Using python and scikit-learn to make stock predictions

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

A Streamlit application to play with machine learning models directly from the browser

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

A library to parse and convert PMML models into Scikit-learn estimators.

Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions

SciKIt-learn Pipeline in PAndas

A fast, robust Python library to check for offensive language in strings.

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

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

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

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

a python interface to OC1 and other oblique decision tree implementations

Time Series Decomposition techniques and random forest algorithm on sales data

Solution of the Titanic Kaggle competition

A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.

Machine Learning Operator & Controller for Kubernetes

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

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

Fast Best-Subset Selection Library

Predicting the winner of 2019 cricket world cup using random forest algorithm

An introductory tutorial about leveraging Ray core features for distributed patterns.

Material for the MASH course on introduction to scikit-learn

Universal 1d/2d data containers with Transformers functionality for data analysis.

⭐ An anomaly-based intrusion detection system.

Titanic assignment on Kaggle competition

machine_learning_examples

Predicting Google’s stock price using regression

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning

A python package to assess cluster tendency

Machine Learning in .NET Core.

🦅Hyperparameter optimization for machine learning pipelines 🦅

Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit

NYC scikit-learn sprint (Sep 2018)

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

Tool for visualizing and empirically analyzing information encoded in binary files

CS 7641 - All the code

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

Samples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

Using machine learning libraries to analyze NBA data

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.

A jupyter notebook having all most frequent used code snippet for daily data scienceoperations

Dockerize and deploy machine learning model as REST API using Flask

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries