100 days of machine learning (thirty-nine): 039 Naive Bayes - dealing with continuous data

"Machine Learning 100 Days" complete table of contents: table of contents

100 days of machine learning, today's talk is: Naive Bayes - dealing with continuous data!

Open spyder and create a naive_bayes_gauss.py script. First import the standard library. Then import the dataset, here we choose the iris dataset.

The download address of the dataset: dataset , extraction code: zjfq.

#导入标准库
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn import metrics


# 导入数据集
data = pd

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Origin blog.csdn.net/red_stone1/article/details/129332219
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