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Title: GitHub - SocratesClub/machine-learning: Machine Learning for Social Scientists

Open Graph Title: GitHub - SocratesClub/machine-learning: Machine Learning for Social Scientists

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Description: Machine Learning for Social Scientists. Contribute to SocratesClub/machine-learning development by creating an account on GitHub.

Open Graph Description: Machine Learning for Social Scientists. Contribute to SocratesClub/machine-learning development by creating an account on GitHub.

X Description: Machine Learning for Social Scientists. Contribute to SocratesClub/machine-learning development by creating an account on GitHub.

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README	https://patch-diff.githubusercontent.com/SocratesClub/machine-learning
	https://patch-diff.githubusercontent.com/SocratesClub/machine-learning#machine-learning-for-social-scientists
https://github.com/computational-class/machine-learning	https://github.com/computational-class/machine-learning
https://github.com/SocratesAcademy/machine-learning	https://github.com/SocratesAcademy/machine-learning
	https://patch-diff.githubusercontent.com/SocratesClub/machine-learning#slides
What Is Machine Learning?	https://nbviewer.jupyter.org/github/computational-class/machine-learning/blob/master/06.01-What-Is-Machine-Learning.ipynb#/
Introducing Scikit-Learn	https://nbviewer.jupyter.org/github/computational-class/machine-learning/blob/master/06.02-machine-learning-with-sklearn.ipynb#/
Hyperparameters and Model Validation	https://nbviewer.jupyter.org/github/computational-class/machine-learning/blob/master/06.03-Hyperparameters-and-Model-Validation.ipynb#/
Feature Engineering	https://nbviewer.jupyter.org/github/computational-class/machine-learning/blob/master/06.04-Feature-Engineering.ipynb#/
In Depth: Naive Bayes Classification	https://nbviewer.jupyter.org/github/computational-class/machine-learning/blob/master/06.05-Naive-Bayes.ipynb#/
In Depth: Linear Regression	https://nbviewer.jupyter.org/github/computational-class/machine-learning/blob/master/06.06-Linear-Regression.ipynb#/
In-Depth: Support Vector Machines	https://nbviewer.jupyter.org/github/computational-class/machine-learning/blob/master/06.07-Support-Vector-Machines.ipynb#/
In-Depth: Decision Trees and Random Forests	https://nbviewer.jupyter.org/github/computational-class/machine-learning/blob/master/06.08-Random-Forests.ipynb#/
In Depth: Neural Networks: An introduction	https://nbviewer.jupyter.org/github/computational-class/machine-learning/blob/master/07.01-neural-network-intro.ipynb#/
In Depth: Neural Networks: Hand-written Digits	https://nbviewer.jupyter.org/github/computational-class/machine-learning/blob/master/07.02-hand-written-digits.ipynb#/
In Depth: Neural Networks: CNN	https://nbviewer.jupyter.org/github/computational-class/machine-learning/blob/master/07.03-CNN.ipynb#/
In Depth: Neural Networks: RNN	https://nbviewer.jupyter.org/github/computational-class/machine-learning/blob/master/07.03-RNN.ipynb#/
	https://patch-diff.githubusercontent.com/SocratesClub/machine-learning#案例
https://www.kaggle.com/c/house-prices-advanced-regression-techniques/	https://www.kaggle.com/c/house-prices-advanced-regression-techniques/
http://www.dcjingsai.com/common/cmpt/ANZ%20Chengdu%20Data%20Science%20Competition_%E7%AB%9E%E8%B5%9B%E4%BF%A1%E6%81%AF.html?lang=en_US	http://www.dcjingsai.com/common/cmpt/ANZ%20Chengdu%20Data%20Science%20Competition_%E7%AB%9E%E8%B5%9B%E4%BF%A1%E6%81%AF.html?lang=en_US
http://www.dcjingsai.com/common/cmpt/%E6%B8%B8%E6%88%8F%E7%8E%A9%E5%AE%B6%E4%BB%98%E8%B4%B9%E9%87%91%E9%A2%9D%E9%A2%84%E6%B5%8B%E5%A4%A7%E8%B5%9B_%E7%AB%9E%E8%B5%9B%E4%BF%A1%E6%81%AF.html	http://www.dcjingsai.com/common/cmpt/%E6%B8%B8%E6%88%8F%E7%8E%A9%E5%AE%B6%E4%BB%98%E8%B4%B9%E9%87%91%E9%A2%9D%E9%A2%84%E6%B5%8B%E5%A4%A7%E8%B5%9B_%E7%AB%9E%E8%B5%9B%E4%BF%A1%E6%81%AF.html
https://www.kaggle.com/c/fake-news	https://www.kaggle.com/c/fake-news
	https://patch-diff.githubusercontent.com/SocratesClub/machine-learning#推荐教材
https://jakevdp.github.io/WhirlwindTourOfPython/	https://jakevdp.github.io/WhirlwindTourOfPython/
https://github.com/SocratesAcademy/beginning-python-3ed	https://github.com/SocratesAcademy/beginning-python-3ed
https://jakevdp.github.io/PythonDataScienceHandbook/	https://jakevdp.github.io/PythonDataScienceHandbook/
http://d2l.ai/	http://d2l.ai/
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	https://patch-diff.githubusercontent.com/SocratesClub/machine-learning#参考书
https://github.com/amueller/introduction_to_ml_with_python	https://github.com/amueller/introduction_to_ml_with_python
https://github.com/ageron/handson-ml3	https://github.com/ageron/handson-ml3
https://github.com/pbharrin/machinelearninginaction	https://github.com/pbharrin/machinelearninginaction
https://github.com/RedstoneWill/MachineLearningInAction-Camp	https://github.com/RedstoneWill/MachineLearningInAction-Camp
https://github.com/TingNie/Machine-learning-in-action	https://github.com/TingNie/Machine-learning-in-action
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https://github.com/computational-class/bigdata	https://github.com/computational-class/bigdata
http://www.icourse163.org/course/nju-1001571005	http://www.icourse163.org/course/nju-1001571005
http://bit.ly/advanced_machine_learning_scikit-learn	http://bit.ly/advanced_machine_learning_scikit-learn
https://github.com/computational-class/PythonMachineLearning	https://github.com/computational-class/PythonMachineLearning
nbviewer.jupyter.org/github/SocratesAcademy/machine-learning/blob/master/06.01-What-Is-Machine-Learning.ipynb	https://nbviewer.jupyter.org/github/SocratesAcademy/machine-learning/blob/master/06.01-What-Is-Machine-Learning.ipynb
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