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Repository files navigation README all about machine-learning Overview A collection of things I did while I was learning about python & machine learning Usage Open jupyter notebook & run .ipynb file, and make sure the data is already to use. Check the dataset I use in this project in the...
git clone --depth 1 https://github.com/Azure/azureml-examples cd azureml-examples cd cli Tip Use --depth 1 to clone only the latest commit to the repository, which reduces time to complete the operation. The commands in this tutorial are in the files deploy-local-endpoint.sh and deplo...
知名的开源数据仓库: —UC Irvine Machine Learning Repository —Kaggle datasets —Amazon’s AWS datasets 综合门户网站: —http://dataportals.org/ —http://opendatamonitor.eu/ —http://quandl.com/ 其它: —Wikipedia’s list of Machine Learning datasets —Quora.com question —Datasets subreddit 这一...
Use the instructions at Azure Machine Learning SDK to install the Azure Machine Learning SDK (v2) for Python Create an Azure Machine Learning workspace. Clone the AzureML-Examples repository. Bash Copy git clone https://github.com/Azure/azureml-examples.git --depth 1 Start the notebook ser...
The data we use is MarketScan Commercial Claims and Encounters (CCAE, more than 100 million patients, from 2012 to 2017) The details of source data structure and prepossessed input data demo are available at the Github repository https://github.com/ruoqi-liu/DeepIPW. Access to the MarketScan...
A possible approach for addressing data sparsity is to develop new data repositories and broaden the accessibility to existing data. For example, the UC Irvine Machine Learning Repository112serves as a platform maintaining a collection of datasets from different scientific domains; the Materials Project...
这篇笔记来自Hands-On Machine Learning with Scikit-Learn,Keras and TensorFlow第2版Part 1 的Chapter 2:End-to-End Machine Learning,这一章通过预测美国房价的小项目,详细展示了一个机器学习算法的完整生命流程。Working with Real Data 数据来源:California Housing Prices dataset from the StatLib repository ...
To view interactive content or to modify elements within the IPython notebooks, you must first clone or download the repository then run the notebook. More information on IPython Notebooks can be found here.$ git clone https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-...
Machine Learning - Giving Computers the Ability to Learn from Data [open dir] Training Machine Learning Algorithms for Classification [open dir] A Tour of Machine Learning Classifiers Using Scikit-Learn [open dir] Building Good Training Sets – Data Pre-Processing [open dir] ...