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winequality-red.csv winequality-white.csv winequality.names yearly-water-usage.csv yearly-water-usage.names README Machine Learning Datasets This repository contains a copy of machine learning datasets used in tutorials on MachineLearningMastery.com. ...
·UC Irvine Machine Learning Repository (UCI Machine Learning Repository) ·Kaggle datasets (Datasets | Kaggle) ·Amazon's AWS datasets (AWS Public Datasets) ·THE MNIST DATABASE of handwritten digits(MNIST handwritten digit database, Yann LeCun, Corinna Cortes and Chris Burges) ·SUN database(SU...
Mining Frequent Closed Cubes in 3D Datasets. Predicting clicks: estimating the click-through rate for new ads. High-speed tournament givens rotation-based QR Decomposition Architecture for MIMO Receiver. Live Demonstration: Computing Spike-based Convolutions on GPUs. An e-market framework for in...
https://github.com/MachineLearning100/100-Days-Of-ML-Code 2.例子 支持向量机(support vector machine): Python代码: #Day13: Support Vector Machine (SVM)#Importing the librariesimportnumpyasnpimportmatplotlib.pyplotaspltimportpandasaspd#Importing the datasetdataset=pd.read_csv('../datasets/Social_Netw...
机器学习(Machine Learning)&深度学习(Deep Learning)资料(Chapter 1) 《Brief History of Machine Learning》 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机、神经网络、决策树、SVM、Adaboost到随机
8df=pd.read_csv('https://raw.githubusercontent.com/rasbt/' 9'python-machine-learning-book/master/code/' 10'datasets/wdbc/wdbc.data',header=None) 11print('rows, columns:',df.shape) 12df.head() 1. 2. 3. 4. 5. 6. 7. 8. ...
Machine Learning 22 二分类实例 分类问题项目流程: 如何端到端的完成一个分类问题的模型 如何通过数据转换提高模型的准确度 如何通过调参提高模型的准确度 如何通过算法集成提高模型的准确度 问题定义 在这个项目中采用声纳、矿山和岩石数据集(http://archive.ics.uci.edu/ml/datasets/Connectionist+Bench+%28Sonar%2...
介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机、神经网络、决策树、SVM、Adaboost到随机森林、Deep Learning. 《Deep Learning in Neural Networks: An Overview》 介绍:这是瑞士人工智能实验室Jurgen Schmidhuber写的最新版本《神经网络与深度学习综述》本综述的特点是以时间排序,从1940年开始讲起,到60-...
The app consists of a scrolling graph of predictions (using Aloïs Deniel’s Microcharts package available on NuGet or bit.ly/2zrIoGu), three buttons that allow you to load and predict tides based on any of three datasets, and the prediction values themselves. Figure 7 Xamar...