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data-streams-online-classification-weka-moa-algorithms

iGNGSVM, OI-SVM, GNG and ENN developed in MOA/WEKA.

incremental_decision_tree-cart-random_forest_python

incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining High-Speed Data Streams" by Domingos & Hulten (2000). And a newly extended model "Extremely Fast Decision Tree" (EFDT) by Manapragada, Webb & Salehi (2018). Added new implementation of Random Forest

interview_internal_reference

2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

mbsgd

Regularized Logistic Regression using mini-batch Stochastic Gradient Descent

online-kernel-learning

This is all the codes used in "Large Scale Online Kernel Learning"

passive-agressive-svm-for-online-learning

An implementation of Passive-Agressive version of SVM algorithm used for online learning

pgmpy_notebook

Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy

python-online-machine-learning-library

streamdm-cpp

stream Machine Learning in C++

the-craft-of-selfteaching

One has no future if he couldn't teach himself.

tornado

The Tornado framework, designed and implemented for adaptive online learning and data stream mining in Python.