433 Open source projects that are alternatives of or similar to Dc Hi_guides

Автоматизация поиска и исследования вакансий с сайта hh.ru (Headhunter) с помощью методов Python. Классификация данных, поиск статистических параметров.

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

Implemented an A/B Testing solution with the help of machine learning

Alpine Container for Machine Learning

A repository for some of the code I used in kaggle data science & machine learning tasks.

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

Machine Learning for Cyber Security

🍊 📊 💡 Orange: Interactive data analysis

Summary of my projects on kaggle

some python projects

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

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

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

Curated list of Python resources for data science.

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Analyze Data with Pandas-based Networks. Documentation:

Interactive CLI Web Crawler

Nightlight: Astronomic Image Processing

The Subdue graph miner discovers highly-compressing patterns in an input graph.

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.

Генератор сырых дампов пользователей VK.

Materials for GWU DNSC 6279 and DNSC 6290.

🎮 A curated list of awesome game datasets, and tools to artificial intelligence in games

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

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

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

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

High performance tokenizers for natural language processing and other related tasks

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

Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (KNN), Logistic Regression and Random Forest.

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

krangl is a {K}otlin DSL for data w{rangl}ing

Complete machine learning model codes

Rust bindings for XGBoost.

Machine learning models for time series analysis

Time Series Ensemble Forecasting

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

本笔记是对课程CS 259D中涉及的论文和讲义的扩展，建议阅读原始论文和讲义。

Microsoft Distributed Machine Learning Toolkit

🚨 Rumor, Fake News, Misinformation Papers

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

Instagram comment scraper using python and selenium. Save the comments into excel.

Allstate Kaggle Competition ML Capstone Project

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

Taller SparkR para las Jornadas de Usuarios de R

Topic Modelling for Humans

安全场景、基于AI的安全算法和安全数据分析学习资料整理

A proofreader for your data

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Algorithmic trading using machine learning.

source{d} Community Edition (CE)

💪 🤔 Modern Super Learning with Machine Learning Pipelines

🎼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。

Ultimate Python library for time series analysis and backtesting at scale

Scrape public FaceBook posts from any group or user into a .csv file without needing to register for any API access

Job data mining repo for lagou.com

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

NFStream: a Flexible Network Data Analysis Framework.

机器学习、深度学习、自然语言处理

A Python package for spectral proper orthogonal decomposition (SPOD).