All Projects → scikit-mine → scikit-mine

scikit-mine / scikit-mine

Licence: BSD-3-Clause License
scikit-mine : pattern mining in Python

Programming Languages

python
139335 projects - #7 most used programming language
Makefile
30231 projects

Projects that are alternatives of or similar to scikit-mine

Friends-Recommender-In-Social-Network
Friends Recommendation and Link Prediction in Social Netowork
Stars: ✭ 33 (-26.67%)
Mutual labels:  datamining
explainy
explainy is a Python library for generating machine learning model explanations for humans
Stars: ✭ 14 (-68.89%)
Mutual labels:  scikit-learn
ai-deployment
关注AI模型上线、模型部署
Stars: ✭ 149 (+231.11%)
Mutual labels:  scikit-learn
object detector
Object detector from HOG + Linear SVM framework
Stars: ✭ 24 (-46.67%)
Mutual labels:  scikit-learn
textlytics
Text processing library for sentiment analysis and related tasks
Stars: ✭ 25 (-44.44%)
Mutual labels:  scikit-learn
handson-ml2
핸즈온 머신러닝 2/E의 주피터 노트북
Stars: ✭ 393 (+773.33%)
Mutual labels:  scikit-learn
kdd99-scikit
Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn
Stars: ✭ 50 (+11.11%)
Mutual labels:  scikit-learn
Kaio-machine-learning-human-face-detection
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
Stars: ✭ 18 (-60%)
Mutual labels:  scikit-learn
machine-learning-course
Machine Learning Course @ Santa Clara University
Stars: ✭ 17 (-62.22%)
Mutual labels:  scikit-learn
Python-Machine-Learning
Python Machine Learning Algorithms
Stars: ✭ 80 (+77.78%)
Mutual labels:  scikit-learn
Sklearn-Nature-Inspired-Algorithms
Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.
Stars: ✭ 16 (-64.44%)
Mutual labels:  scikit-learn
machine-learning-scripts
Collection of scripts and tools related to machine learning
Stars: ✭ 60 (+33.33%)
Mutual labels:  scikit-learn
projection-pursuit
An implementation of multivariate projection pursuit regression and univariate classification
Stars: ✭ 24 (-46.67%)
Mutual labels:  scikit-learn
scikit-activeml
Our package scikit-activeml is a Python library for active learning on top of SciPy and scikit-learn.
Stars: ✭ 46 (+2.22%)
Mutual labels:  scikit-learn
model-deployment-flask
'Deploying machine learning models with a Flask API' tutorial, written for HyperionDev
Stars: ✭ 64 (+42.22%)
Mutual labels:  scikit-learn
scikit-learn
به فارسی، برای مشارکت scikit-learn
Stars: ✭ 19 (-57.78%)
Mutual labels:  scikit-learn
Python-Machine-Learning-Fundamentals
D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.
Stars: ✭ 46 (+2.22%)
Mutual labels:  scikit-learn
Machine-Learning-With-Python
This repositories contain various Machine Learning examples done with Python.
Stars: ✭ 28 (-37.78%)
Mutual labels:  scikit-learn
polystores
A library for performing hyperparameter optimization
Stars: ✭ 48 (+6.67%)
Mutual labels:  scikit-learn
Machine-Learning
The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
Stars: ✭ 54 (+20%)
Mutual labels:  scikit-learn
https://img.shields.io/badge/powered%20by-INRIA-orange.svg?style=flat&colorA=384257&colorB=E23324 https://pepy.tech/badge/scikit-mine

Scikit-mine : pattern mining in Python

Resources

Quickstart

scikit-mine is a Python module for pattern mining built on top of Pandas/Numpy/SciPy and is distributed under the 3-Clause BSD license.

It is currently maintained by a team of volunteers.

See examples in the tutorials; the notebooks are available here.

Dependencies

scikit-mine requires Python>=3.6, and some extra dependencies

  • scipy>=1.2.1
  • pandas>=1.0.0
  • sortedcontainers>=2.1.0
  • roaringbitmap==0.7
  • joblib>=0.11.1

scikit-learn is not a dependency. However, scikit-mine is contiuously tested for interactions with scikit-learn

Development

This project is funded by the INRIA center in Rennes, Brittany, France.

We welcome new contributors of all experience levels.

Internal Contributors

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].