284 Open source projects that are alternatives of or similar to Matminer

Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)

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

Ensemble learning related books, papers, videos, and toolboxes

Well handling

Lithology and stratigraphic logs for wells or outcrop.

HTTP(S) Rotating Residential proxies - Code examples & General information

Extract indicators of compromise from text, including "escaped" ones.

Interface to manage and centralize Google Alert information

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

manipulate JSON files

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

Social Network Analysis of Zhihu with Python

An (un-)ethical hacking-station based on Raspberry Pi and Python

Python library for reading and writing well data using Log ASCII Standard (LAS) files

数据可视化, 数据挖掘, 数据处理 ETL

Extract price and indicator data from TradingView charts to create ML datasets

Rosie Pattern Language (RPL) and the Rosie Pattern Engine have MOVED!

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

An efficient Python implementation of the Apriori algorithm.

AIL framework - Analysis Information Leak framework

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

Weka package for the Deeplearning4j java library

2017-CCF-BDCI-让AI当法官(初赛)：7th/415 (Top 1.68%)

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

RAVEN is a flexible and multi-purpose probabilistic risk analysis, uncertainty quantification, parameter optimization and data knowledge-discovering framework.

Materials for GWU DNSC 6279 and DNSC 6290.

Collection of stats, modeling, and data science tools in Python and R.

Curated list of Python resources for data science.

the `pipeline` shell command

Analytic platform for real-time large-scale streams containing structured and unstructured data.

A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

Topic Modelling for Humans

Apuntes personales sobre estadística, machine learning y lenguaje de programación R

source{d} Community Edition (CE)

Analyze Data with Pandas-based Networks. Documentation:

🎼天池阿里音乐流行趋势预测大赛，项目中涵盖了从初赛到复赛的全部核心代码。复赛的聚合数据可以在百度网盘下载，更详细的思路介绍欢迎访问我的博客。

Powerful and flexible Instagram scraping library for Python, providing easy-to-use and expressive tools for accessing data programmatically

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

Real-time sentiment analysis in Python using twitter's streaming api

Twitter数据挖掘及其可视化

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

Machine learning fundamentals lesson in interactive notebooks

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

Complete machine learning model codes

List of tools & datasets for anomaly detection on time-series data.

Social media scraping / data collection tool for the Facebook, Twitter, Reddit, YouTube, Pinterest, and Tumblr APIs

TipDM建模平台，开源的数据挖掘工具。

A curated list of awesome machine learning interpretability resources.

A machine learning application for emotion recognition from speech

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.

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

🍊 📊 💡 Orange: Interactive data analysis

some python projects

Ranking, acceptance rate, deadline, and publication tips

The shortest yet efficient Python implementation of the sequential pattern mining algorithm PrefixSpan, closed sequential pattern mining algorithm BIDE, and generator sequential pattern mining algorithm FEAT.

《Python数据分析与挖掘实战》随书源码与数据