heilong623 / test

README

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natural language processing

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Logistic regression algorithm is a common nonlinear binary dependent variable regression statistical model, which is also widely used in the field of machine learning. The parameters of the algorithm are estimated by the maximum likelihood estimation method, which is consistent with the asymptotic normality. Logistic regression algorithm is based on linear regression algorithm, adding logit transform to deal with nonlinear situation

python
#!/usr/bin/env python3
print("Hello, World!");

• Distinguish between the three components of a computer hardware.
• Determination of regression parameters.
• Sample division.

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1.feature extraction  ：
    - Traditional TFIDF method
2. Data set construction：
    - Using crawler technology

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1. Introduction of logistic regression algorithm

2. Determination of regression parameters

Syntax	Description	Test Text
Header	Title	Here's this
Paragraph	Text	And more

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这是一个链接 百度