搜索资源列表
ml-py
- 机器学习算法(kNN、逻辑回归、线性回归、朴素贝叶斯)python实现。-machine learning by python
assign1
- 伯克利大学人工智能与机器学习课程练习题，实现了多种算法。PYTHON语言。-Berkeley Artificial Intelligence and Machine Learning course exercises, to achieve a variety of algorithms. PYTHON language.
MNIST_theano
- 利用theano库完成MNIST手写识别，包括稀疏自编码机，多层感知机，卷积神经网络-using the theano to complete the handwriting congnization in MNIST ,include Denoising AutoEncoder,MLP,Convolution Neutral Network.
ufldl_tutorial-master
- 神经网络的纯python实现，完美复现了Andrew Ng的课件内容-Neural network realization of pure python, perfect reproduction of courseware content Andrew Ng
fpGrowth
- 经典FP-tree 算法的优化，纯python 实现，适用于频繁模式的挖掘和关联规则的发现-Optimization of classical FP-tree algorithm, pure Python implementation, suitable for mining frequent pattern and association rule discovery
Adaboosting
- Adaboosting算法的python实现，并在数据集上进行测试-Adaboosting algorithm Python implementation, and tested in a data set
matrix_factorization
- 矩阵分解模型，给定一个用户-item评分矩阵，有些评分空缺，利用该模型推测空缺值-a matrix_factorization model for recommendation
A-star
- python A-star算法求解8-puzzle-python A-star algorithm 8-puzzle
GA
- python遗传算法求解背包问题,后者由1978年由Merkel和Hellman提出。其运行依赖DEAP -python genetic algorithm knapsack problem, which in 1978 proposed by Merkel and Hellman. Its operation depend DEAP
ID3AlgorithmforWeatherJudge
- 讲ID3算法应用于天气决策。给定一组数据集，构建ID3判定树，对某一天气状况进行判断。使用Python脚本编写，C语言版本可参考百度文库（http://wenku.baidu.com/link?url=B3ltO-rUB7K927wLNaGaSInD0hoXRzjVtxFhwcvCdKqewIOu4BZ3SzpC9kRER4qOdBW2_19j-TdYd0H13LJhXZWApI1udXK3wIKBYwso37e），未验证。-Speak ID3 algorithm is applied to w
HW1502-linear-regression
- 使用神经网络进行机器学习 神经网络 机器学习 误差反传训练算法-Using neural networks for machine learning neural network machine learning error back propagation training algorithm
classification
- sklearn库对数据进行分类的机器学习经典例子的python实现-Sklearn library classifying data of machine learning python implementation of a classic example
cluster
- 机器学习中经典的聚类算法例子，采用python编写，简单易理解-Classical clustering algorithms in machine learning, for example, USES python, simple easy to understand
DetFace
- 该程序可以实现对人脸检测，采用经典的Adaboost算法，利用了OPENCV库，简单可靠，亲测能用。-The program can be achieved on face detection, Adaboost algorithm classic, OPENCV library use, simple and reliable, pro-test be used.
OS-ELM(Python)
- ELM是一种简单易用、有效的单隐层前馈神经网络，该代码是用python实现的极限学习机，亲测有用-extreme learning machine realized by python，it works well
kmean_python
- k均值的python代码，用于了解学习k均值算法-kmean algorithm python source code
tree_python
- 决策树算法的python代码，用于了解学习决策树算法-tree python source code
bayes_python
- 贝叶斯决策python学习代码，了解贝叶斯决策原理-bayes python code
svm_python
- svm算法python代码，用于了解学习svm算法-svm python source code
adaboost
- adaboost算法python代码，用于了解学习adaboost算法-adaboost python source code