How to deal with missing values in machine learning
How to deal with missing values in machine learning
Note: this data is from kaggle, please stamp for details here , original reference connection, please stamp here , this paper is a long one, which aims to introduce some ideas and details in the process of EDA.
1, Introduction
The purpose of this EDA(Exploratory Data Analysis) is ...
Posted on Thu, 23 Sep 2021 05:58:16 -0400 by g00bster
Human words explain linear regression and gradient descent
from sklearn.datasets import load_boston
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error
from sklearn.linear_model import SGDRegressor
import pandas as pd
def linear_model():
# get data
...
Posted on Tue, 21 Sep 2021 16:58:37 -0400 by xwishmasterx