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python template cookiecutter datascience machinelearning deeplearning codestyle template-project python-package github-templates githubcli deeplearning-ai machine-learning-projects machinelearning-python machinelearningprojects github-template template-repository Updated Feb 2, 2025 Python naveen-chauhan / Loan...
The default container image that's used by GitHub Codespaces includes a set of machine learning libraries that are preinstalled in your codespace. For example, Numpy, pandas, SciPy, Matplotlib, seaborn, scikit-learn, Keras, PyTorch, Requests, and Plotly. For more information about th...
项目地址: https://github.com/trekhleb/homemade-machine-learning
https://github.com/trekhleb/homemade-machine-learning/blob/master/homemade/logistic_regression/logistic_regression.py Demo |逻辑回归-线性边界:基于花瓣长度和花瓣宽度的鸢尾花类预测 https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/logistic_regression/logistic_re...
《Machine Learning Yearning》是吴恩达历时两年,根据自己多年实践经验整理出来的一本机器学习、深度学习实践经验宝典。作为一本 AI 实战圣经,本书主要教你如何在实践中使机器学习算法的实战经验。 Github: https://github.com/deeplearning-ai/machine-learning-yearning-cnlinks.jianshu.com/go?to=https%3A%2F%...
开始使用 GitHub Actions 以便在 Azure 机器学习上训练模型。 本文介绍如何创建生成机器学习模型并将其部署到 Azure 机器学习的GitHub Actions工作流。 你将基于纽约出租车数据集训练 scikit-learn 线性回归模型。 GitHub Actions 使用存储库中 /.github/workflows/ 路径下的工作流 YAML (.yml) 文件。 此定义包含组成...
In the advancement of automatic sleep staging, the adoption of machine learning classifiers trained on PPG data is gaining traction. Previous research has employed various approaches, leveraging both publicly available and proprietary datasets. Using public datasets, such as the Sleep Heart Health Study...
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license. GitHub资源:https://github.com/scikit-learn/scikit-learn 4、fchollet/keras Introduction Keras is a high-level neural networks API, written in Python and capable of running...
https://github.com/trekhleb/homemade-machine-learning 对于此仓库的Octave / MatLab版本,请查看machine-learning-octave项目。 本仓库包含在Python中实现的流行机器学习算法的示例,其中包含算法背后的解释。 每个算法都有交互式Jupyter Notebook演示,你可以使用它来训练数据和算法配置,并立即在浏览器中查看结果、图表...