Machine learning -- the principle and basic implementation of logical regression

summary Logistic Regression (LR) is actually a very misleading concept. Although it has the word "regression" in its name, it is best at dealing with classification problems. LR classifier is applicable to various generalized classification tasks, such as positive and negative emotion analysis of comment information (secondary ...

Posted on Wed, 24 Nov 2021 15:48:04 -0500 by Yves

Logistic regression using gradient descent method

#Load package import numpy as np import pandas as pd import matplotlib.pyplot as plt %matplotlib inline path = 'LogiReg_data.txt' #header=None: indicates that the first row in the file will not be set as column name by default. #names is used to set the column name pdData = pd.read_csv(path,header=None,sep = ',',names=['Exam 1','Exam 2','Admit ...

Posted on Fri, 12 Nov 2021 17:28:43 -0500 by prion

Deep learning: detailed explanation of logistic regression code based on Wu Enda's course assignment

1. Image preprocessing import numpy as np import matplotlib.pyplot as plt import h5py import scipy from PIL import Image from scipy import ndimage def load_dataset(): #Read data in the corresponding path train_dataset = h5py.File('datasets/train_catvnoncat.h5', "r") train_set_x_orig = np.array(train_dataset["train_set_x"] ...

Posted on Fri, 22 Oct 2021 00:07:48 -0400 by byenary