October 2021
Intermediate to advanced
289 pages
8h 31m
Chinese
Content preview from 数据科学中的实用统计学(第2版)
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相应的
Python
代码如下：
print('percentage of loans in default: ',
100 * np.mean(full_train_set.outcome == 'default'))
如果使用完整的数据集来训练模型，会是什么情况呢？使用
R
代码看一下：
full_model <- glm(outcome ~ payment_inc_ratio + purpose_ + home_ +
emp_len_+ dti + revol_bal + revol_util,
data=full_train_set, family='binomial')
pred <- predict(full_model)
mean(pred > 0)
[1] 0.003942094
Python
代码如下：
predictors = ['payment_inc_ratio', 'purpose_', 'home_', 'emp_len_',
'dti', 'revol_bal', 'revol_util']
outcome = 'outcome'
X = pd.get_dummies(full_train_set[predictors], prefix='', prefix_sep='',
drop_first=True)
y = full_train_set[outcome]
full_model = LogisticRegression(penalty='l2', C=1e42, ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.