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SocratesClub's
repositories
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.ipynb_checkpoints
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_build
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2-2-认识Jupyter-Notebook.ipynb
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2-3-Python编程基础.ipynb
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2-4-认识numpy与pandas.ipynb
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3-1-使用Python进行描述统计单变量.ipynb
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3-10-列联表检验.ipynb
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3-2-使用Python进行描述统计多变量.ipynb
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3-3-基于matplotlib-seaborn的数据可视化.ipynb
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3-4-用Python模拟抽样.ipynb
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3-5-样本统计量的性质.ipynb
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3-6-正态分布及其应用.ipynb
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3-7-参数估计.ipynb
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3-8-假设检验.ipynb
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3-9-均值差的检验.ipynb
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5-1-一元回归.ipynb
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5-2-方差分析.ipynb
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5-3-含有多个解释变量的模型.ipynb
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6-1-各种概率分布.ipynb
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6-3-logistic回归.ipynb
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6-4-广义线性模型的评估.ipynb
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6-5-泊松回归.ipynb
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7-3-Python中的Ridge回归与Lasso回归.ipynb
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7-4-线性模型与神经网络.ipynb
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.DS_Store
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2-4-1-sample_data.csv
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3-10-1-click_data.csv
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3-2-1-fish_multi.csv
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3-2-2-shoes.csv
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3-2-3-cov.csv
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3-3-2-fish_multi_2.csv
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3-4-1-fish_length_100000.csv
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3-7-1-fish_length.csv
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3-8-1-junk-food-weight.csv
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3-9-1-paired-t-test.csv
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5-1-1-beer.csv
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5-3-1-lm-model.csv
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6-3-1-logistic-regression.csv
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6-5-1-poisson-regression.csv
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7-3-1-large-data.csv
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README.md
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_config.yml
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_toc.yml
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deploy.sh
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