501 Open source projects that are alternatives of or similar to data-mining

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

A scikit-learn compatible library for anomaly detection

Korpuslinguistik war noch nie so einfach...

📝 An awesome Data Science repository to learn and apply for real world problems.

This repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.

🍊 📊 💡 Orange: Interactive data analysis

Course on ArcGIS automation through scripting with Python

some python projects

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

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

Functional data science

Curated list of Python resources for data science.

2018-腾讯广告算法大赛-相似人群拓展(初赛)：10th/1563 (Top 0.64%)

Analyze Data with Pandas-based Networks. Documentation:

Desenvolvimento de Aplicações com Arquitetura Baseada em Microservices

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

Information Inference Service of the OpenAIRE system

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.

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

Materials for GWU DNSC 6279 and DNSC 6290.

Converts website to json using jQuery selectors

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

Curso de Introducción al desarrollo con PyQGIS (por Germán Carrillo)

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

Create a local Kubernetes development environment on macOS or Windows and WSL2, including HTTPS/TLS and OAuth2/OIDC authentication.

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

Learn Ruby on Rails by creating an app from scratch

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

Python implementations of the various methods used in FIRE 2019 conference.

Complete machine learning model codes

Heart Disease prediction using 5 algorithms

A curated list of awesome machine learning interpretability resources.

⛳ Node.js 应用开发课程资料

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

Easy association rule mining and classification on the web

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

Grabs all of the audio files from all of the Blinkist books

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

Выполненные и принятые домашние задания, а также другие материалы, которые могут помочь в обучении

the `pipeline` shell command

Kali Intelligence Suite (KIS) shall aid in the fast, autonomous, central, and comprehensive collection of intelligence by executing standard penetration testing tools. The collected data is internally stored in a structured manner to allow the fast identification and visualisation of the collected information.

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

In this course, we are going to learn about gRPC and how to use it with protocol buffer

Topic Modelling for Humans

💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻

source{d} Community Edition (CE)

Python scripts to extract tweets and facebook posts from public users.

🎼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。

A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.

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.

An online blackboard 🖉 with fridge magnets 🌈🧲 for teaching, and making animations 🏃 and presentations ⎚.

Twitter数据挖掘及其可视化

Python Open Courseware for Scientists and Engineers

Monoidal data processes.

Vue.js ile Sıfırdan Uygulama Geliştirme Eğitimi uygulama ve proje dosyaları

Hubness analysis and removal functions

Edge Computer Vision Course

Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.

Course on Language Technologies and NLP

object flow treatment, data transformation