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learning-from-data

记录Learning from data一书中的习题解答

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

lightgbm

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. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning_zhouzhihua

Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University

machine_learning_beginner

机器学习初学者公众号作品

machine_learning_note

《机器学习》周志华 (西瓜书) 练习

machine_learning_python

通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯

machinelearning

Machine learning resources

machinelearning_python

机器学习算法python实现

machinelearninginaction-camp

ml-dl-tutorial

Machine Learning /DL Tutorial

ml-from-scratch

机器学习算法 基于西瓜书以及《统计学习方法》，当然包括DL。

ml2016

ML2016

ml2016-1

2016 NTU Machine Learning

motion-planning-algorithms

Matlab Implementations of some basic motion planning algorithms, such as A*, RRT, RRT*, Minimum Snap Trajectory Generation, etc..

news_w2v

Get 50 news from test data,find each of them the most similar 50 news in train data.

ntu_hylee_machinelearning_homework

台大李宏毅 (Hung-yi Lee) 的Machine Learning課程的課程作業分享

ntu_ml2017_hung-yi-lee_hw

NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业

o2o-coupon-usage-forecast

1st Place Solution for O2O Coupon Usage Forecast

ocr_densenet

第一届西安交通大学人工智能实践大赛（2018AI实践大赛--图片文字识别）第一名；仅采用densenet识别图中文字

pathplanning

Common used path planning algorithms with animations.

proxypool

Proxy Pool

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

python-100-days

Python - 100天从新手到大师

python-clustering-exercises

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

pythonrobotics

Python sample codes for robotics algorithms.

rong360

用户贷款风险预测