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