搜索资源列表
kNN_in_Python
- 用Python学习和实战kNN算法，对《机器学习实战》中的代码进行修正，保证能在python3.x中运行-kNN algorithm in learning and action in Python
2783341_a650485a3eba7395d4cb1375280eafe7
- 用python语言写的一个分类算法，用于树绘图，机器学习算法-(Python language written with a classification algorithm for tree drawing, machine learning algorithms)
imbalanced-learn-master
- 基于不均衡数据的学习，包含各种机器学习算法，python 操作(imbalanced-learn is a python package offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance. It is compatible with scikit-learn_ and is part of scikit-learn-contr
Machine Learning
- 这是一本关于机器学习的书籍，介绍了机器学习常见算法的原理和实现代码，有例子。(This is a book on machine learning, introduced the principles of machine learning algorithms and the realization of code, there are examples.)
python机器学习预测分析核心算法
- 机器学习预测分析python程序，很有用的啊，希望对大家有帮助(Machine learning prediction analysis Python procedures, very useful ah!)
knn
- 代码通过python2实现KNN算法，文件夹中包含使用数据及其使用代码。在python2中能很好的运行(Code through python2 to achieve KNN algorithm)
3.贝叶斯分类器
- 贝叶斯定理是用数学的方法来解释生活中大家都知道的常识，而机器学习使用的各种算法中，最常见的就是贝叶斯定理。此代码为贝叶斯分类python代码，包含高斯贝叶斯分类器，多项式贝叶斯分类器和伯努利贝叶斯分类器，并有具体的数据例子进行仿真比较(Bias's theorem is a mathematical way to explain all the common sense in life, and machine learning using various algorithms, the mos
boyilun
- python 代码，机器学习基础学习，算法。(Python code, machine learning, basic learning, algorithms.)
Chapter_2.1.1.3
- 贝叶斯算法、决策树、神经网络等算法的简单python实现(Bias algorithm, decision tree and neural network)
机器学习实战
- 机器学习实战，想用Python实现经典机器学习算法的可以好好看看(Machine learning practice using python)
scikit_learn-0.19.1-cp27-cp27m-win32.whl
- sklearn，机器学习算法，用于创建算法模型以及预处理数据(Sklearn, a machine learning algorithm, is used to create a model of the algorithm and data preprocessing)
tdxj
- 机器学习中的梯度下降算法的python版本的代码实现。有需要的可以下载(Implementation of the python version of the gradient descent algorithm in machine learning. There is a need to download)
MachineLearning-master
- 垃圾邮件处理，贝叶斯算法，Python，机器学习，深度学习。(Spam processing, Bayesian algorithm, Python, machine learning, deep learning.)
milk-master
- 机器学习python类库，机器学习(Machine Learning, ML)是一门多领域交叉学科，涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。(Machine learning Python class library)
chapter6
- 电力用户窃电大数据仿真，利用拉格朗日差值法和机器学习算法进行数据处理，有效预测。(The power user theft of large data simulation, the use of Lagrange difference method and machine learning algorithm for data processing, effective prediction.)
机器学习
- 此算法是对机器学习实战这本书中的K近邻算法进行了代码的详细介绍(K neighbor algorithm of machine learning code explained in detail)
Python机器学习算法—赵志勇
- Python机器学习算法—赵志勇，包含电子版书籍和随书代码，供大家学习。(Python Machine Learning Algorithms - Zhao Zhiyong, including electronic books and accompanying codes for everyone to learn.)