搜索资源列表
Ch03
- Python 机器学习与实战 第三章 决策树分类问题-Python Machine Learning and practical decision tree classification Chapter III
Machine-Learning-in-Python
- 《Python机器学习及实践：从零开始通往Kaggle竞赛之路》源码，提供了一些流行的机器学习框架与程序库的应用实例，包括tensorflow框架，注重实战。-Python machine learning and practice: zero to the road leading to the Kaggle contest source code, provides some popular machine learning framework and application examp
machine-learning-ex1
- 斯坦福大学机器学习课程作业第一章，主要包含线性回归实战。-Stanford Machine Learning course work first chapter contains a linear regression combat.
machine-learning-ex2
- 斯坦福大学机器学习课程作业第二章，主要包含逻辑逻辑回归算法实战。-Stanford University machine learning course of the second chapter, including logic logic regression algorithm combat.
machine-learning-ex3
- 斯坦福大学机器学习课程作业第三章，主要包含人工神经网络算法初阶实战。-Stanford University machine learning course work The third chapter, mainly contains the artificial neural network algorithm initial combat.
machine-learning-ex4
- 斯坦福大学机器学习课程作业第四章，主要包含人工神经网络算法进阶实战。-Stanford University machine learning course of the fourth chapter, mainly including artificial neural network algorithm advanced combat.
machine-learning-ex5
- 斯坦福大学机器学习课程作业第五章，主要包含加正则项的线性回归算法实战。-Stanford University machine learning course of the fifth chapter, including Regularized Linear Regression algorithm combat.
machine-learning-ex6
- 斯坦福大学机器学习课程作业第六章，主要包含支持向量机算法实战。-Chapter 6 of the Stanford University machine learning course, mainly includes support vector machine algorithm combat.
g13tsr
- 机器学习启蒙实战学习源码，回归模型，分类模型，聚类和相似度模型，推荐系统，深度学习等学习代码。(Machine learning, practical combat learning source,regression model, classification model, clustering and similarity model, recommendation system, depth learning and other learning code.)
Tensorflow
- Python Tensorflow机器学习实战中文版(Python Tensorflow introduction to practical coding)
kNN
- 机器学习实战，第二章knn源代码，实现k近邻功能。(Machine learning combat, the second chapter knn source code, k nearest neighbor function.)
111
- kNN算法实现的一个实例，借用的机器学习实战～～～～(its a implementation of kNN algorithm.)
Ch02
- 来自《机器学习实战》，本代码为数字识别及网站约会预测(From "machine learning", this code is digital recognition and website dating prediction)
SMO optimization algorithm
- SMO 优化算法 径向基核函数 代码加数据 实例 机器学习实战第六章代码(SMO optimization algorithm radial basis function)
[Python2]《机器学习实战》及源代码
- Python具有丰富和强大的库。它常被昵称为胶水语言，能够把用其他语言制作的各种模块（尤其是C/C++）很轻松地联结在一起。常见的一种应用情形是，使用Python快速生成程序的原型（有时甚至是程序的最终界面），然后对其中有特别要求的部分，用更合适的语言改写，比如3D游戏中的图形渲染模块，性能要求特别高，就可以用C/C++重写，而后封装为Python可以调用的扩展类库。需要注意的是在您使用扩展类库时可能需要考虑平台问题，某些可能不提供跨平台的实现。(Python has a rich and po
《数据挖掘导论》 PPT 压缩处理
- Machine learning 机器学习实战的课本编程资料(The textbook programming materials for machine learning)
kNN
- knn分类器, 机器学习实战第二章代码，k最近邻分类，适用于低维数据的分类器(classifier (KNN algorithm))
tree
- 决策树 机器学习实战CH03 统计所有label的频次，计算香农熵(Decision Tree Machine Learning Practical Combat CH03 Statistics Frequency of All Labels and Calculates Shannon Entropy)
CH10-11
- 机器学习实战第10章和第11章源码，包含算法源码和数据集。(Chapter 10 and Chapter 11 source code of machine learning practice, including algorithm source code and data set.)
xgboost导读和实战
- 本资料详细介绍了xgboost的相关基础知识和实战步骤，可供机器学习算法的入门(Federal learning is the key point of the financial technologies during right period, so I collect some basic and important books on this part to help others to get known about this career)