sklearn house price prediction (random forest)

Language 2023-09-06 14:53:06 views: null

Article directory

I. Introduction
2. Implementation method

I. Introduction

Task objective: predict the final transaction price of the house based on the relevant data of the house attributes in csv
Dataset: "Residential Attribute Dataset", taken from https://download.csdn.net/download/weixin_43721000/87785277
Explanation of data set fields:
There are detailed descriptions of fields in this file↓

2. Implementation method

# pip install scikit-learn
from sklearn.ensemble import RandomForestRegressor
import numpy as np
import pandas

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Origin blog.csdn.net/weixin_43721000/article/details/131600072

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