432 Open source projects that are alternatives of or similar to machine_learning_examples

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

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My textbook for teaching Machine Learning

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中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

No description or website provided.

Dockerize and deploy machine learning model as REST API using Flask

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A module for allowing the use of multiple metric functions in scikit's cross_val_score

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Automatic machine learning for tabular data. ⚡🔥⚡

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

Machine learning in Python with scikit-learn MOOC

NYC scikit-learn sprint (Sep 2018)

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

This project is a finite state machine designed to be used in games.

📒 Experiment tracking tool and model registry

Implementations of machine learning algorithm by Python 3

Tools that make working with scikit-learn and pandas easier.

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

This repository is a recommended track, designed to get started with Machine Learning.

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도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Predict materials properties using only the composition information!

Using machine learning libraries to analyze NBA data

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

NYC WiMLDS scikit-learn open source sprint (Aug 24, 2019)

A Python package for fitting Quinlan's Cubist regression model

Machine Learning in .NET Core.

Tools for filtering and cleaning parallel and monolingual corpora for machine translation and other natural language processing tasks.

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Algorithmic trading using machine learning.

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

Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

Earthquake Prediction Challenge with LightGBM and XGBoost

Predicting Google’s stock price using regression

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

No description or website provided.

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

Complete Conjugation of any Verb using Machine Learning for French, Spanish, Portuguese, Italian and Romanian

Easy continuous integration of apps using third-party controls that rely on licenses.licx files

Edge Computer Vision Course

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

Polyaxon Core Client & CLI to streamline MLOps

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Pedestrian Detection using Non Maximum Suppression

A gentle introduction to machine learning: data handling, linear regression, naive bayes, clustering

A complete one stop solution for all the problems of Rural area people. 👩🏻‍🌾

<Do it! 딥러닝 입문> 도서의 주피터 노트북

zAnalysis是基于Pascal语言编写的大型统计学开源库

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

A clustering tutorial with scikit-learn for beginners.