搜索资源列表
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
python-code-for-Machine-learning
- 用于机器学习的全方位python代码，包括K-近邻算法、决策树、朴素贝叶斯、Logistic 回归 、支持向量机、利用 AdaBoost 元算法提高分类性能、预测数值型数据：回归、树回归、利用 K-均值聚类算法对未标注数据分组、使用 Apriori 算法进行关联分析、使用 FP-growth 算法来高效分析频繁项集、利用 PCA 来简化数据、利用 SVD 简化数据、大数据与 MapReduce-The full range of python code for machine learning
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.
machine-learning
- 这本书为机器学习书籍，里面有许多机器学习理论介绍和相关源码练习-This book machine learning books, there are a lot of machine learning theory to practice presentations and Related Items
Machine-Learning-in-Action
- 分析常见的机器学习算法，并进行实际的应用，能够很好的熟练掌握-Analysis of common machine learning algorithms, and the actual application, can be a good grasp
machine-learning-yearning-andrew-ng
- 机器学习 andrew ng,Machine learning is the foundation of countless important applications, including web search, email anti-spam, speech recognition, product recommendations, and more. I assume that you or your team is working on a machine learning a
machine-learning-ex2
- Machine learning and linear regression
Machine Learning
- 机器学习经典书籍，Tom M. Mitchell所著。详细介绍了包括ANN，Bayesian学习等在内的机器学习的方法(Machine learning classic books, Tom, M., Mitchell by. The method of machine learning including ANN, Bayesian learning and so on is introduced in detail)
Andrew Ng
- Andrew Ng机器学习视频配套matlab代码(Andrew Ng machine learning video matching matlab code)
机器学习实战及配套代码
- 机器学习实战及配套代码，主要内容是一本电子书和对应每章节实战代码(Machine learning and supporting code)
machine learning
- 机器学习在线视频的英文pdf版, 可以帮助大家在学习过程中加深理解(Machine learning online video version of the English PDF, you can help everyone in the learning process to deepen understanding)
MachineLearning_Steps.py
- python做机器学习的基本步骤，包括了数据收集，数据归一化，数据的特征值选择，最后使用几个算法进行测试(The basic steps for machine learning with Python)
Feature engineering in Machine Learning
- 机器学习中，特征工程总结，思维导图，超详细。(In machine learning, feature engineering summarization and mind mapping, super detail.)
machine_learning_mastery_with_r_code
- r programming machine learning
Pattern Recognition and Machine Learning
- 贝叶斯学派的机器学习书籍，主要讲解了模式识别和机器学习的基本入门方法。(The machine learning book of Bayesian school.)