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industry-machine-learning 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
py-why / EconML
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variabl
EconML 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。
目前累计 4.8k star、829 fork，主要语言为 Jupyter Notebook，项目始于 2018 年，采用 NOASSERTION 许可。最近状态：近一个月有提交。适合：想补齐某块知识的开发者。
中文介绍优先采用本站人工维护条目；无维护条目时依据 GitHub 公开字段（语言、主题、星标、提交时间）自动生成，未经项目方确认，不构成选型结论。py-why/EconML 是一个以 Jupyter Notebook 为主的开源项目，目前累计 4.8k star、829 fork，近 30 天内有提交。主要方向：causal-inference、causality、econometrics、economics、machine-learning、treatment-effects。
依据 GitHub 公开字段（语言、主题、星标、提交时间）自动生成，未经人工逐项核实。README
正在加载…相关项目
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Financial-Models-Numerical-Methods 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。
Collection of notebooks about quantitative finance, with interactive python code.
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Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
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evidently 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发，主打开源免费。
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular d…
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Machine-Learning-Specialization-Coursera 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
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Build your neural network easy and fast, 莫烦Python中文教学
Build your neural network easy and fast, 莫烦Python中文教学