1410 Open source projects that are alternatives of or similar to Data Mining Conferences

Code for the paper "BIOLITMAP: a web-based geolocated and temporal visualization of the evolution of bioinformatics publications" in Oxford Bioinformatics.

eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.

Introduction to Data Science

Curated list of Python resources for data science.

Analyze Data with Pandas-based Networks. Documentation:

Maintained collection of OSINT related resources. (All Free & Actionable)

Multi-class confusion matrix library in Python

Python Data Science and Machine Learning Library for the Ethereum and ERC-20 Blockchain

Topic Modelling for Humans

An efficient Python implementation of the Apriori algorithm.

This repository provides everything you need to get started with Python for (social science) research.

ELKI Data Mining Toolkit

NFStream: a Flexible Network Data Analysis Framework.

pyclustring is a Python, C++ data mining library.

A proofreader for your data

потоковый курс "Машинное обучение и анализ данных (Machine Learning and Data Mining)" на факультете ВМК МГУ имени М.В. Ломоносова

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

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

model-describer : Making machine learning interpretable to humans

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

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

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

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

Complete machine learning model codes

A curated list of awesome machine learning interpretability resources.

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

Practical Data Science with Ruby based tools.

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

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.

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Materials for GWU DNSC 6279 and DNSC 6290.

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

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

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

PHP-ML - Machine Learning library for PHP

A curated list of data mining papers about fraud detection.

TSrepr: R package for time series representations

👨🏽‍🏫You can learn about anything over here. What Giveaways I do and why it's important in today's modern world. Are you interested in Giveaway's?🔋

Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.

Companion code for the book "Mastering Social Media Mining with Python"

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

Explore high-dimensional datasets and how your algo handles specific regions.

Machine learning fundamentals lesson in interactive notebooks

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

🐍 Python library implementing sorted containers with state-of-the-art query performance and compressed memory usage

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.

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

A Python Package for Monitoring Seismic Velocity Changes using Ambient Seismic Noise | http://www.msnoise.org

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

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🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

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

H2O.ai Machine Learning Interpretability Resources

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

📝 Подборка ресурсов по машинному обучению

Turn Python scripts into handouts with Markdown and figures

Ensemble learning related books, papers, videos, and toolboxes

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